WACV
Collection
Accepted papers for WACV (IEEE/CVF Winter Conference on Applications of Computer Vision), one dataset per year. • 7 items • Updated
paper_id stringlengths 47 136 | title stringlengths 25 151 | authors listlengths 1 13 | cvf_url stringlengths 104 193 | pdf_url stringlengths 105 194 | supp_url stringlengths 101 148 ⌀ | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 3
values | bibtex large_stringlengths 309 566 | abstract large_stringlengths 683 2.58k |
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Cho_Feature_Augmentation_Based_Test-Time_Adaptation_WACV_2025_paper | Feature Augmentation Based Test-Time Adaptation | [
"Younggeol Cho",
"Youngrae Kim",
"Junho Yoon",
"Seunghoon Hong",
"Dongman Lee"
] | https://openaccess.thecvf.com/content/WACV2025/html/Cho_Feature_Augmentation_Based_Test-Time_Adaptation_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Cho_Feature_Augmentation_Based_Test-Time_Adaptation_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Cho_Feature_Augmentation_Based_WACV_2025_supplemental.pdf | 2410.14178 | cvf | @InProceedings{Cho_2025_WACV,
author = {Cho, Younggeol and Kim, Youngrae and Yoon, Junho and Hong, Seunghoon and Lee, Dongman},
title = {Feature Augmentation Based Test-Time Adaptation},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {Feb... | Test-time adaptation (TTA) allows a model to be adapted to an unseen domain without accessing the source data. Due to the nature of practical environments TTA has a limited amount of data for adaptation. Recent TTA methods further restrict this by filtering input data for reliability making the effective data size even... |
Johnson_Agtech_Framework_for_Cranberry-Ripening_Analysis_using_Vision_Foundation_Models_WACV_2025_paper | Agtech Framework for Cranberry-Ripening Analysis using Vision Foundation Models | [
"Faith Johnson",
"Ryan Meegan",
"Jack Lowry",
"Peter Oudemans",
"Kristin Dana"
] | https://openaccess.thecvf.com/content/WACV2025/html/Johnson_Agtech_Framework_for_Cranberry-Ripening_Analysis_using_Vision_Foundation_Models_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Johnson_Agtech_Framework_for_Cranberry-Ripening_Analysis_using_Vision_Foundation_Models_WACV_2025_paper.pdf | null | 2412.09739 | cvf | @InProceedings{Johnson_2025_WACV,
author = {Johnson, Faith and Meegan, Ryan and Lowry, Jack and Oudemans, Peter and Dana, Kristin},
title = {Agtech Framework for Cranberry-Ripening Analysis using Vision Foundation Models},
booktitle = {Proceedings of the Winter Conference on Applications of Computer ... | Agricultural domains are being transformed by recent advances in AI and computer vision that support quantitative visual evaluation. Using aerial and ground imaging over a time series we develop a framework for characterizing the ripening process of cranberry crops a crucial component for precision agriculture tasks su... |
Bahri_Test-Time_Adaptation_in_Point_Clouds_Leveraging_Sampling_Variation_with_Weight_WACV_2025_paper | Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging | [
"Ali Bahri",
"Moslem Yazdanpanah",
"Mehrdad Noori",
"Sahar Dastani Oghani",
"Milad Cheraghalikhani",
"David Osowiechi",
"Farzad Beizaee",
"Gustavo A. Vargas Hakim",
"Ismail Ben Ayed",
"Christian Desrosiers"
] | https://openaccess.thecvf.com/content/WACV2025/html/Bahri_Test-Time_Adaptation_in_Point_Clouds_Leveraging_Sampling_Variation_with_Weight_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Bahri_Test-Time_Adaptation_in_Point_Clouds_Leveraging_Sampling_Variation_with_Weight_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Bahri_Test-Time_Adaptation_in_WACV_2025_supplemental.pdf | 2411.01116 | cvf | @InProceedings{Bahri_2025_WACV,
author = {Bahri, Ali and Yazdanpanah, Moslem and Noori, Mehrdad and Oghani, Sahar Dastani and Cheraghalikhani, Milad and Osowiechi, David and Beizaee, Farzad and Hakim, Gustavo A. Vargas and Ben Ayed, Ismail and Desrosiers, Christian},
title = {Test-Time Adaptation in Poin... | Test-Time Adaptation (TTA) addresses distribution shifts during testing by adapting a pretrained model without access to source data. In this work we propose a novel TTA approach for 3D point cloud classification combining sampling variation with weight averaging. Our method leverages Farthest Point Sampling (FPS) and ... |
Kumar_Self-Supervised_Anomaly_Segmentation_via_Diffusion_Models_with_Dynamic_Transformer_UNet_WACV_2025_paper | Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet | [
"Komal Kumar",
"Snehashis Chakraborty",
"Dwarikanath Mahapatra",
"Behzad Bozorgtabar",
"Sudipta Roy"
] | https://openaccess.thecvf.com/content/WACV2025/html/Kumar_Self-Supervised_Anomaly_Segmentation_via_Diffusion_Models_with_Dynamic_Transformer_UNet_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Kumar_Self-Supervised_Anomaly_Segmentation_via_Diffusion_Models_with_Dynamic_Transformer_UNet_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Kumar_Self-Supervised_Anomaly_Segmentation_WACV_2025_supplemental.pdf | null | null | @InProceedings{Kumar_2025_WACV,
author = {Kumar, Komal and Chakraborty, Snehashis and Mahapatra, Dwarikanath and Bozorgtabar, Behzad and Roy, Sudipta},
title = {Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet},
booktitle = {Proceedings of the Winter Conference ... | A robust anomaly detection mechanism should possess the capability to effectively remediate anomalies restoring them to a healthy state while preserving essential healthy information. Despite the efficacy of existing generative models in learning the underlying distribution of healthy reference data they face primary c... |
Lee_RGB2Point_3D_Point_Cloud_Generation_from_Single_RGB_Images_WACV_2025_paper | RGB2Point: 3D Point Cloud Generation from Single RGB Images | [
"Jae Joong Lee",
"Bedrich Benes"
] | https://openaccess.thecvf.com/content/WACV2025/html/Lee_RGB2Point_3D_Point_Cloud_Generation_from_Single_RGB_Images_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Lee_RGB2Point_3D_Point_Cloud_Generation_from_Single_RGB_Images_WACV_2025_paper.pdf | null | 2407.14979 | cvf | @InProceedings{Lee_2025_WACV,
author = {Lee, Jae Joong and Benes, Bedrich},
title = {RGB2Point: 3D Point Cloud Generation from Single RGB Images},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February},
year = {2025},
page... | We introduce RGB2Point an unposed single-view RGB image to a 3D point cloud generation based on Transformer. RGB2Point takes an input image of an object and generates a dense 3D point cloud. Contrary to prior works based on CNN layers and diffusion-denoising approaches we use pre-trained Transformer layers that are fas... |
Hu_Shadow_Removal_Refinement_via_Material-Consistent_Shadow_Edges_WACV_2025_paper | Shadow Removal Refinement via Material-Consistent Shadow Edges | [
"Shilin Hu",
"Hieu Le",
"ShahRukh Athar",
"Sagnik Das",
"Dimitris Samaras"
] | https://openaccess.thecvf.com/content/WACV2025/html/Hu_Shadow_Removal_Refinement_via_Material-Consistent_Shadow_Edges_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Hu_Shadow_Removal_Refinement_via_Material-Consistent_Shadow_Edges_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Hu_Shadow_Removal_Refinement_WACV_2025_supplemental.pdf | 2409.06848 | cvf | @InProceedings{Hu_2025_WACV,
author = {Hu, Shilin and Le, Hieu and Athar, ShahRukh and Das, Sagnik and Samaras, Dimitris},
title = {Shadow Removal Refinement via Material-Consistent Shadow Edges},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month ... | Shadow boundaries can be confused with material boundaries as both exhibit sharp changes in luminance or contrast within a scene. However shadows do not modify the intrinsic color or texture of surfaces. Therefore on both sides of shadow edges traversing regions with the same material the original color and texture sho... |
Dhiman_ChromaDistill__Colorizing_Monochrome_Radiance_Fields_with_Knowledge_Distillation_WACV_2025_paper | ChromaDistill : Colorizing Monochrome Radiance Fields with Knowledge Distillation | [
"Ankit Dhiman",
"Srinath R",
"Srinjay Sarkar",
"Lokesh Boregowda",
"Venkatesh Babu Radhakrishnan"
] | https://openaccess.thecvf.com/content/WACV2025/html/Dhiman_ChromaDistill__Colorizing_Monochrome_Radiance_Fields_with_Knowledge_Distillation_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Dhiman_ChromaDistill__Colorizing_Monochrome_Radiance_Fields_with_Knowledge_Distillation_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Dhiman_ChromaDistill__Colorizing_WACV_2025_supplemental.pdf | 2309.07668 | cvf | @InProceedings{Dhiman_2025_WACV,
author = {Dhiman, Ankit and R, Srinath and Sarkar, Srinjay and Boregowda, Lokesh and Radhakrishnan, Venkatesh Babu},
title = {ChromaDistill : Colorizing Monochrome Radiance Fields with Knowledge Distillation},
booktitle = {Proceedings of the Winter Conference on Appli... | Colorization is a well-explored problem in the domains of image and video processing. However extending colorization to 3D scenes presents significant challenges. Recent Neural Radiance Field (NeRF) and Gaussian-Splatting(3DGS) methods enable high-quality novel-view synthesis for multi-view images. However the question... |
Nguyen_CT_to_PET_Translation_A_Large-Scale_Dataset_and_Domain-Knowledge-Guided_Diffusion_WACV_2025_paper | CT to PET Translation: A Large-Scale Dataset and Domain-Knowledge-Guided Diffusion Approach | [
"Dac Thai Nguyen",
"Trung Thanh Nguyen",
"Huu Tien Nguyen",
"Thanh Trung Nguyen",
"Huy Hieu Pham",
"Thanh Hung Nguyen",
"Thao Nguyen Truong",
"Phi Le Nguyen"
] | https://openaccess.thecvf.com/content/WACV2025/html/Nguyen_CT_to_PET_Translation_A_Large-Scale_Dataset_and_Domain-Knowledge-Guided_Diffusion_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Nguyen_CT_to_PET_Translation_A_Large-Scale_Dataset_and_Domain-Knowledge-Guided_Diffusion_WACV_2025_paper.pdf | null | 2410.21932 | cvf | @InProceedings{Nguyen_2025_WACV,
author = {Nguyen, Dac Thai and Nguyen, Trung Thanh and Nguyen, Huu Tien and Nguyen, Thanh Trung and Pham, Huy Hieu and Nguyen, Thanh Hung and Truong, Thao Nguyen and Le Nguyen, Phi},
title = {CT to PET Translation: A Large-Scale Dataset and Domain-Knowledge-Guided Diffusi... | Positron Emission Tomography (PET) and Computed Tomography (CT) are essential for diagnosing staging and monitoring various diseases particularly cancer. Despite their importance the use of PET/CT systems is limited by the necessity for radioactive materials the scarcity of PET scanners and the high cost associated wit... |
Barua_GTA-HDR_A_Large-Scale_Synthetic_Dataset_for_HDR_Image_Reconstruction_WACV_2025_paper | GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction | [
"Hrishav Bakul Barua",
"Kalin Stefanov",
"KokSheik Wong",
"Abhinav Dhall",
"Ganesh Krishnasamy"
] | https://openaccess.thecvf.com/content/WACV2025/html/Barua_GTA-HDR_A_Large-Scale_Synthetic_Dataset_for_HDR_Image_Reconstruction_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Barua_GTA-HDR_A_Large-Scale_Synthetic_Dataset_for_HDR_Image_Reconstruction_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Barua_GTA-HDR_A_Large-Scale_WACV_2025_supplemental.pdf | 2403.17837 | title_snapshot | @InProceedings{Barua_2025_WACV,
author = {Barua, Hrishav Bakul and Stefanov, Kalin and Wong, KokSheik and Dhall, Abhinav and Krishnasamy, Ganesh},
title = {GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction},
booktitle = {Proceedings of the Winter Conference on Applications of Comp... | High Dynamic Range (HDR) content (i.e. images and videos) has a broad range of applications. However capturing HDR content from real-world scenes is expensive and time-consuming. Therefore the challenging task of reconstructing visually accurate HDR images from their Low Dynamic Range (LDR) counterparts is gaining atte... |
Dat_HOPE_A_Memory-Based_and_Composition-Aware_Framework_for_Zero-Shot_Learning_with_WACV_2025_paper | HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts | [
"Do Huu Dat",
"Po-Yuan Mao",
"Tien Hoang Nguyen",
"Wray Buntine",
"Mohammed Bennamoun"
] | https://openaccess.thecvf.com/content/WACV2025/html/Dat_HOPE_A_Memory-Based_and_Composition-Aware_Framework_for_Zero-Shot_Learning_with_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Dat_HOPE_A_Memory-Based_and_Composition-Aware_Framework_for_Zero-Shot_Learning_with_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Dat_HOPE_A_Memory-Based_WACV_2025_supplemental.pdf | 2311.14747 | title_snapshot | @InProceedings{Dat_2025_WACV,
author = {Dat, Do Huu and Mao, Po-Yuan and Nguyen, Tien Hoang and Buntine, Wray and Bennamoun, Mohammed},
title = {HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts},
booktitle = {Proceedings of ... | Compositional Zero-Shot Learning (CZSL) has emerged as an essential paradigm in machine learning aiming to overcome the constraints of traditional zero-shot learning by incorporating compositional thinking into its methodology. Conventional zero-shot learning has difficulty managing unfamiliar combinations of seen and ... |
Armangeon_IRIS-VIS_A_New_Dataset_for_Visibility_Estimation_in_an_Industrial_WACV_2025_paper | IRIS-VIS: A New Dataset for Visibility Estimation in an Industrial Environment | [
"Flavien Armangeon",
"Thibaud Ehret",
"Enric Meinhardt-Llopis",
"Rafael Grompone von Gioi",
"Guillaume Thibault",
"Marc Petit",
"Gabriele Facciolo"
] | https://openaccess.thecvf.com/content/WACV2025/html/Armangeon_IRIS-VIS_A_New_Dataset_for_Visibility_Estimation_in_an_Industrial_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Armangeon_IRIS-VIS_A_New_Dataset_for_Visibility_Estimation_in_an_Industrial_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Armangeon_IRIS-VIS_A_New_WACV_2025_supplemental.pdf | null | null | @InProceedings{Armangeon_2025_WACV,
author = {Armangeon, Flavien and Ehret, Thibaud and Meinhardt-Llopis, Enric and von Gioi, Rafael Grompone and Thibault, Guillaume and Petit, Marc and Facciolo, Gabriele},
title = {IRIS-VIS: A New Dataset for Visibility Estimation in an Industrial Environment},
book... | Point cloud visibility estimation is fundamental as it is useful for many computer vision applications including surface reconstruction 3D segmentation from paired images and point densification. Previous works showed outstanding results on simple object and outdoor datasets. However unlike the previously studied scene... |
Yi_PivotAlign_Improve_Semi-Supervised_Learning_by_Learning_Intra-Class_Heterogeneity_and_Aligning_WACV_2025_paper | PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots | [
"Lingjie Yi",
"Tao Sun",
"Yikai Zhang",
"Songzhu Zheng",
"Weimin Lyu",
"Haibin Ling",
"Chao Chen"
] | https://openaccess.thecvf.com/content/WACV2025/html/Yi_PivotAlign_Improve_Semi-Supervised_Learning_by_Learning_Intra-Class_Heterogeneity_and_Aligning_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Yi_PivotAlign_Improve_Semi-Supervised_Learning_by_Learning_Intra-Class_Heterogeneity_and_Aligning_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Yi_PivotAlign_Improve_Semi-Supervised_WACV_2025_supplemental.pdf | null | null | @InProceedings{Yi_2025_WACV,
author = {Yi, Lingjie and Sun, Tao and Zhang, Yikai and Zheng, Songzhu and Lyu, Weimin and Ling, Haibin and Chen, Chao},
title = {PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots},
booktitle = {Proceedings of the ... | Self-supervised learning plays an important role in current state-of-the-art semi-supervised learning (SSL) methods. These methods learn inter-class heterogeneity among data and generate pseudo-labels based on class level representations. However they often neglect intra-class heterogeneity resulting in the under-explo... |
Patro_SpectFormer_Frequency_and_Attention_is_What_You_Need_in_a_WACV_2025_paper | SpectFormer: Frequency and Attention is What You Need in a Vision Transformer | [
"Badri N. Patro",
"Vinay P. Namboodiri",
"Vijay S. Agneeswaran"
] | https://openaccess.thecvf.com/content/WACV2025/html/Patro_SpectFormer_Frequency_and_Attention_is_What_You_Need_in_a_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Patro_SpectFormer_Frequency_and_Attention_is_What_You_Need_in_a_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Patro_SpectFormer_Frequency_and_WACV_2025_supplemental.pdf | 2304.06446 | cvf | @InProceedings{Patro_2025_WACV,
author = {Patro, Badri N. and Namboodiri, Vinay P. and Agneeswaran, Vijay S.},
title = {SpectFormer: Frequency and Attention is What You Need in a Vision Transformer},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
mon... | Vision transformers have been applied successfully for image recognition tasks. There have been either multiheaded self-attention based (ViT [12] DeIT [54]) similar to the original work in textual models or more recently based on spectral layers (Fnet [29] GFNet [46] AFNO [15]). We hypothesize that spectral layers capt... |
Escobar_EgoCast_Forecasting_Egocentric_Human_Pose_in_the_Wild_WACV_2025_paper | EgoCast: Forecasting Egocentric Human Pose in the Wild | [
"Maria Escobar",
"Juanita Puentes",
"Cristhian Forigua",
"Jordi Pont-Tuset",
"Kevis-Kokitsi Maninis",
"Pablo Arbelaez"
] | https://openaccess.thecvf.com/content/WACV2025/html/Escobar_EgoCast_Forecasting_Egocentric_Human_Pose_in_the_Wild_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Escobar_EgoCast_Forecasting_Egocentric_Human_Pose_in_the_Wild_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Escobar_EgoCast_Forecasting_Egocentric_WACV_2025_supplemental.zip | 2412.02903 | cvf | @InProceedings{Escobar_2025_WACV,
author = {Escobar, Maria and Puentes, Juanita and Forigua, Cristhian and Pont-Tuset, Jordi and Maninis, Kevis-Kokitsi and Arbelaez, Pablo},
title = {EgoCast: Forecasting Egocentric Human Pose in the Wild},
booktitle = {Proceedings of the Winter Conference on Applicat... | Accurately estimating and forecasting human body pose is important for enhancing the user's sense of immersion in Augmented Reality. Addressing this need our paper introduces EgoCast a bimodal method for 3D human pose forecasting using egocentric videos and proprioceptive data. We study the task of human pose forecasti... |
Srivastava_ReEdit_Multimodal_Exemplar-Based_Image_Editing_WACV_2025_paper | ReEdit: Multimodal Exemplar-Based Image Editing | [
"Ashutosh Srivastava",
"Tarun Ram Menta",
"Abhinav Java",
"Avadhoot Gorakh Jadhav",
"Silky Singh",
"Surgan Jandial",
"Balaji Krishnamurthy"
] | https://openaccess.thecvf.com/content/WACV2025/html/Srivastava_ReEdit_Multimodal_Exemplar-Based_Image_Editing_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Srivastava_ReEdit_Multimodal_Exemplar-Based_Image_Editing_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Srivastava_ReEdit_Multimodal_Exemplar-Based_WACV_2025_supplemental.pdf | 2411.03982 | cvf | @InProceedings{Srivastava_2025_WACV,
author = {Srivastava, Ashutosh and Menta, Tarun Ram and Java, Abhinav and Jadhav, Avadhoot Gorakh and Singh, Silky and Jandial, Surgan and Krishnamurthy, Balaji},
title = {ReEdit: Multimodal Exemplar-Based Image Editing},
booktitle = {Proceedings of the Winter Con... | Modern Text-to-Image (T2I) Diffusion models have revolutionized image editing by enabling the generation of high-quality photorealistic images. While the de-facto method for performing edits with T2I models is through text instructions this approach is non-trivial due to the complex many-to-many mapping between natural... |
Nsutezo_PGRID_Power_Grid_Reconstruction_in_Informal_Developments_using_High-Resolution_Aerial_WACV_2025_paper | PGRID: Power Grid Reconstruction in Informal Developments using High-Resolution Aerial Imagery | [
"Simone Fobi Nsutezo",
"Amrita Gupta",
"Duncan Kebut",
"Seema Iyer",
"Luana Marotti",
"Rahul Dodhia",
"Juan M. Lavista Ferres",
"Anthony Ortiz"
] | https://openaccess.thecvf.com/content/WACV2025/html/Nsutezo_PGRID_Power_Grid_Reconstruction_in_Informal_Developments_using_High-Resolution_Aerial_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Nsutezo_PGRID_Power_Grid_Reconstruction_in_Informal_Developments_using_High-Resolution_Aerial_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Nsutezo_PGRID_Power_Grid_WACV_2025_supplemental.pdf | 2412.07944 | cvf | @InProceedings{Nsutezo_2025_WACV,
author = {Nsutezo, Simone Fobi and Gupta, Amrita and Kebut, Duncan and Iyer, Seema and Marotti, Luana and Dodhia, Rahul and Ferres, Juan M. Lavista and Ortiz, Anthony},
title = {PGRID: Power Grid Reconstruction in Informal Developments using High-Resolution Aerial Imager... | As of 2023 a record 117 million people have been displaced worldwide more than double the number from a decade ago [22]. Of these 32 million are refugees under the UNHCR mandate with 8.7 million residing in refugee camps. A critical issue faced by these populations is the lack of access to electricity with 80% of the 8... |
Xiao_Enhancing_Predictive_Imaging_Biomarker_Discovery_through_Treatment_Effect_Analysis_WACV_2025_paper | Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis | [
"Shuhan Xiao",
"Lukas Klein",
"Jens Petersen",
"Philipp Vollmuth",
"Paul F. Jaeger",
"Klaus H. Maier-Hein"
] | https://openaccess.thecvf.com/content/WACV2025/html/Xiao_Enhancing_Predictive_Imaging_Biomarker_Discovery_through_Treatment_Effect_Analysis_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Xiao_Enhancing_Predictive_Imaging_Biomarker_Discovery_through_Treatment_Effect_Analysis_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Xiao_Enhancing_Predictive_Imaging_WACV_2025_supplemental.pdf | 2406.02534 | cvf | @InProceedings{Xiao_2025_WACV,
author = {Xiao, Shuhan and Klein, Lukas and Petersen, Jens and Vollmuth, Philipp and Jaeger, Paul F. and Maier-Hein, Klaus H.},
title = {Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis},
booktitle = {Proceedings of the Winter Conferenc... | Identifying predictive covariates which forecast individual treatment effectiveness is crucial for decision-making across different disciplines such as personalized medicine. These covariates referred to as biomarkers are extracted from pre-treatment data often within randomized controlled trials and should be distingu... |
Wang_DeepCA_Deep_Learning-Based_3D_Coronary_Artery_Tree_Reconstruction_from_Two_WACV_2025_paper | DeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-ray Angiography Projections | [
"Yiying Wang",
"Abhirup Banerjee",
"Robin P. Choudhury",
"Vicente Grau"
] | https://openaccess.thecvf.com/content/WACV2025/html/Wang_DeepCA_Deep_Learning-Based_3D_Coronary_Artery_Tree_Reconstruction_from_Two_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Wang_DeepCA_Deep_Learning-Based_3D_Coronary_Artery_Tree_Reconstruction_from_Two_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Wang_DeepCA_Deep_Learning-Based_WACV_2025_supplemental.pdf | 2407.14616 | title_snapshot | @InProceedings{Wang_2025_WACV,
author = {Wang, Yiying and Banerjee, Abhirup and Choudhury, Robin P. and Grau, Vicente},
title = {DeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-ray Angiography Projections},
booktitle = {Proceedings of the Winter Confe... | Cardiovascular diseases (CVDs) are the most common cause of death worldwide. Invasive x-ray coronary angiography (ICA) is one of the most important imaging modalities for the diagnosis of CVDs. ICA typically acquires only two 2D projections which makes the 3D geometry of coronary vessels difficult to interpret thus req... |
Zhang_Precise_Integral_in_NeRFs_Overcoming_the_Approximation_Errors_of_Numerical_WACV_2025_paper | Precise Integral in NeRFs: Overcoming the Approximation Errors of Numerical Quadrature | [
"Boyuan Zhang",
"Zhenliang He",
"Meina Kan",
"Shiguang Shan"
] | https://openaccess.thecvf.com/content/WACV2025/html/Zhang_Precise_Integral_in_NeRFs_Overcoming_the_Approximation_Errors_of_Numerical_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Zhang_Precise_Integral_in_NeRFs_Overcoming_the_Approximation_Errors_of_Numerical_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Zhang_Precise_Integral_in_WACV_2025_supplemental.pdf | null | null | @InProceedings{Zhang_2025_WACV,
author = {Zhang, Boyuan and He, Zhenliang and Kan, Meina and Shan, Shiguang},
title = {Precise Integral in NeRFs: Overcoming the Approximation Errors of Numerical Quadrature},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},... | Neural Radiance Fields (NeRFs) use neural networks to translate spatial coordinates to corresponding volume density and directional radiance enabling realistic novel view synthesis through volume rendering. Rendering new viewpoints involves computing volume rendering integrals along rays usually approximated by numeric... |
Galanakis_FitDiff_Robust_Monocular_3D_Facial_Shape_and_Reflectance_Estimation_using_WACV_2025_paper | FitDiff: Robust Monocular 3D Facial Shape and Reflectance Estimation using Diffusion Models | [
"Stathis Galanakis",
"Alexandros Lattas",
"Stylianos Moschoglou",
"Stefanos Zafeiriou"
] | https://openaccess.thecvf.com/content/WACV2025/html/Galanakis_FitDiff_Robust_Monocular_3D_Facial_Shape_and_Reflectance_Estimation_using_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Galanakis_FitDiff_Robust_Monocular_3D_Facial_Shape_and_Reflectance_Estimation_using_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Galanakis_FitDiff_Robust_Monocular_WACV_2025_supplemental.pdf | 2312.04465 | cvf | @InProceedings{Galanakis_2025_WACV,
author = {Galanakis, Stathis and Lattas, Alexandros and Moschoglou, Stylianos and Zafeiriou, Stefanos},
title = {FitDiff: Robust Monocular 3D Facial Shape and Reflectance Estimation using Diffusion Models},
booktitle = {Proceedings of the Winter Conference on Appli... | The remarkable progress in 3D face reconstruction has resulted in high-detail and photorealistic facial representations. Recently Diffusion Models have revolutionized the capabilities of generative methods by surpassing the performance of GANs. In this work we present FitDiff a diffusion-based 3D facial avatar generati... |
Gu_Differential_Privacy_Mechanisms_in_Neural_Tangent_Kernel_Regression_WACV_2025_paper | Differential Privacy Mechanisms in Neural Tangent Kernel Regression | [
"Jiuxiang Gu",
"Yingyu Liang",
"Zhizhou Sha",
"Zhenmei Shi",
"Zhao Song"
] | https://openaccess.thecvf.com/content/WACV2025/html/Gu_Differential_Privacy_Mechanisms_in_Neural_Tangent_Kernel_Regression_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Gu_Differential_Privacy_Mechanisms_in_Neural_Tangent_Kernel_Regression_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Gu_Differential_Privacy_Mechanisms_WACV_2025_supplemental.zip | 2407.13621 | cvf | @InProceedings{Gu_2025_WACV,
author = {Gu, Jiuxiang and Liang, Yingyu and Sha, Zhizhou and Shi, Zhenmei and Song, Zhao},
title = {Differential Privacy Mechanisms in Neural Tangent Kernel Regression},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
mon... | Training data privacy is a fundamental problem in modern Artificial Intelligence (AI) applications such as face recognition recommendation systems language generation and many others as it may contain sensitive user information related to legal issues. To fundamentally understand how privacy mechanisms work in AI appli... |
Giloni_DiL_An_Explainable_and_Practical_Metric_for_Abnormal_Uncertainty_in_WACV_2025_paper | DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection | [
"Amit Giloni",
"Omer Hofman",
"Ikuya Morikawa",
"Toshiya Shimizu",
"Yuval Elovici",
"Asaf Shabtai"
] | https://openaccess.thecvf.com/content/WACV2025/html/Giloni_DiL_An_Explainable_and_Practical_Metric_for_Abnormal_Uncertainty_in_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Giloni_DiL_An_Explainable_and_Practical_Metric_for_Abnormal_Uncertainty_in_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Giloni_DiL_An_Explainable_WACV_2025_supplemental.pdf | null | null | @InProceedings{Giloni_2025_WACV,
author = {Giloni, Amit and Hofman, Omer and Morikawa, Ikuya and Shimizu, Toshiya and Elovici, Yuval and Shabtai, Asaf},
title = {DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection},
booktitle = {Proceedings of the Winter Conference o... | Although object detection models are widely used their predictive performance has been shown to deteriorate when faced with abnormal scenes. Such abnormalities can occur naturally (by partially occluded or out-of-distribution objects) or deliberately (in the case of an adversarial attack). Existing uncertainty quantifi... |
He_SoundLoc3D_Invisible_3D_Sound_Source_Localization_and_Classification_using_a_WACV_2025_paper | SoundLoc3D: Invisible 3D Sound Source Localization and Classification using a Multimodal RGB-D Acoustic Camera | [
"Yuhang He",
"Sangyun Shin",
"Anoop Cherian",
"Niki Trigoni",
"Andrew Markham"
] | https://openaccess.thecvf.com/content/WACV2025/html/He_SoundLoc3D_Invisible_3D_Sound_Source_Localization_and_Classification_using_a_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/He_SoundLoc3D_Invisible_3D_Sound_Source_Localization_and_Classification_using_a_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/He_SoundLoc3D_Invisible_3D_WACV_2025_supplemental.pdf | 2412.16861 | title_snapshot | @InProceedings{He_2025_WACV,
author = {He, Yuhang and Shin, Sangyun and Cherian, Anoop and Trigoni, Niki and Markham, Andrew},
title = {SoundLoc3D: Invisible 3D Sound Source Localization and Classification using a Multimodal RGB-D Acoustic Camera},
booktitle = {Proceedings of the Winter Conference on... | Accurately localizing 3D sound sources and estimating their semantic labels - where the sources may not be visible but are assumed to lie on the physical surface of objects in the scene - have many real applications including detecting gas leak and machinery malfunction. The audio-visual weak- correlation in such setti... |
Quercia_Enhancing_Monocular_Depth_Estimation_with_Multi-Source_Auxiliary_Tasks_WACV_2025_paper | Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks | [
"Alessio Quercia",
"Erenus Yildiz",
"Zhuo Cao",
"Kai Krajsek",
"Abigail Morrison",
"Ira Assent",
"Hanno Scharr"
] | https://openaccess.thecvf.com/content/WACV2025/html/Quercia_Enhancing_Monocular_Depth_Estimation_with_Multi-Source_Auxiliary_Tasks_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Quercia_Enhancing_Monocular_Depth_Estimation_with_Multi-Source_Auxiliary_Tasks_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Quercia_Enhancing_Monocular_Depth_WACV_2025_supplemental.pdf | 2501.12824 | cvf | @InProceedings{Quercia_2025_WACV,
author = {Quercia, Alessio and Yildiz, Erenus and Cao, Zhuo and Krajsek, Kai and Morrison, Abigail and Assent, Ira and Scharr, Hanno},
title = {Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks},
booktitle = {Proceedings of the Winter Conference ... | Monocular depth estimation (MDE) is a challenging task in computer vision often hindered by the cost and scarcity of high-quality labeled datasets. We tackle this challenge using auxiliary datasets from related vision tasks for an alternating training scheme with a shared decoder built on top of a pre-trained vision fo... |
Ichimaru_Neural_SDF_for_Shadow-Aware_Unsupervised_Structured_Light_WACV_2025_paper | Neural SDF for Shadow-Aware Unsupervised Structured Light | [
"Kazuto Ichimaru",
"Diego Thomas",
"Takafumi Iwaguchi",
"Hiroshi Kawasaki"
] | https://openaccess.thecvf.com/content/WACV2025/html/Ichimaru_Neural_SDF_for_Shadow-Aware_Unsupervised_Structured_Light_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Ichimaru_Neural_SDF_for_Shadow-Aware_Unsupervised_Structured_Light_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Ichimaru_Neural_SDF_for_WACV_2025_supplemental.pdf | null | null | @InProceedings{Ichimaru_2025_WACV,
author = {Ichimaru, Kazuto and Thomas, Diego and Iwaguchi, Takafumi and Kawasaki, Hiroshi},
title = {Neural SDF for Shadow-Aware Unsupervised Structured Light},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month ... | Among various active 3D measurement techniques Structured Light (SL) is one of the most popular method for its robustness and high accuracy. Ordinary SL system consists of a camera and a projector and by projecting a pre-defined pattern we can obtain pixel-to-pixel correspondences between the camera and the projector f... |
Chen_Can_Multimodal_Large_Language_Models_Truly_Perform_Multimodal_In-Context_Learning_WACV_2025_paper | Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? | [
"Shuo Chen",
"Zhen Han",
"Bailan He",
"Jianzhe Liu",
"Mark Buckley",
"Yao Qin",
"Philip Torr",
"Volker Tresp",
"Jindong Gu"
] | https://openaccess.thecvf.com/content/WACV2025/html/Chen_Can_Multimodal_Large_Language_Models_Truly_Perform_Multimodal_In-Context_Learning_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Chen_Can_Multimodal_Large_Language_Models_Truly_Perform_Multimodal_In-Context_Learning_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Chen_Can_Multimodal_Large_WACV_2025_supplemental.pdf | 2311.18021 | cvf | @InProceedings{Chen_2025_WACV,
author = {Chen, Shuo and Han, Zhen and He, Bailan and Liu, Jianzhe and Buckley, Mark and Qin, Yao and Torr, Philip and Tresp, Volker and Gu, Jindong},
title = {Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?},
booktitle = {Proceedings ... | Large Language Models (LLMs) with in-context learning (ICL) ability can quickly adapt to a specific context given a few demonstrations (demos). Recently Multimodal Large Language Models (MLLMs) built upon LLMs have also shown multimodal ICL ability i.e. responding to queries given a few multimodal demos including image... |
Prasse_I_Spy_with_My_Little_Eye_A_Minimum_Cost_Multicut_WACV_2025_paper | I Spy with My Little Eye A Minimum Cost Multicut Investigation of Dataset Frames | [
"Katharina Prasse",
"Isaac Bravo",
"Stefanie Walter",
"Margret Keuper"
] | https://openaccess.thecvf.com/content/WACV2025/html/Prasse_I_Spy_with_My_Little_Eye_A_Minimum_Cost_Multicut_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Prasse_I_Spy_with_My_Little_Eye_A_Minimum_Cost_Multicut_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Prasse_I_Spy_with_WACV_2025_supplemental.pdf | 2412.01296 | cvf | @InProceedings{Prasse_2025_WACV,
author = {Prasse, Katharina and Bravo, Isaac and Walter, Stefanie and Keuper, Margret},
title = {I Spy with My Little Eye A Minimum Cost Multicut Investigation of Dataset Frames},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WA... | Visual framing analysis is a key method in social sciences for determining common themes and concepts in a given discourse. To reduce manual effort image clustering can significantly speed up the annotation process. In this work we phrase the clustering task as a Minimum Cost Multicut Problem [MP]. Solutions to the MP ... |
Chen_A_Semantically_Impactful_Image_Manipulation_Dataset_Characterizing_Image_Manipulations_using_WACV_2025_paper | A Semantically Impactful Image Manipulation Dataset: Characterizing Image Manipulations using Semantic Significance | [
"Yuwei Chen",
"Ming-Ching Chang",
"Mattias Kirchner",
"Zhenfei Zhang",
"Xin Li",
"Arslan Basharat",
"Anthony Hoogs"
] | https://openaccess.thecvf.com/content/WACV2025/html/Chen_A_Semantically_Impactful_Image_Manipulation_Dataset_Characterizing_Image_Manipulations_using_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Chen_A_Semantically_Impactful_Image_Manipulation_Dataset_Characterizing_Image_Manipulations_using_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Chen_A_Semantically_Impactful_WACV_2025_supplemental.pdf | null | null | @InProceedings{Chen_2025_WACV,
author = {Chen, Yuwei and Chang, Ming-Ching and Kirchner, Mattias and Zhang, Zhenfei and Li, Xin and Basharat, Arslan and Hoogs, Anthony},
title = {A Semantically Impactful Image Manipulation Dataset: Characterizing Image Manipulations using Semantic Significance},
book... | We investigate how to characterize semantic significance (SS) in detecting image manipulations (IMD) for media forensics. We introduce the Characterization of Semantic Impact for IMD (CSI-IMD) dataset which focuses on localizing and evaluating the semantic impact of image manipulations to counter advanced generative te... |
Nauen_Which_Transformer_to_Favor_A_Comparative_Analysis_of_Efficiency_in_WACV_2025_paper | Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers | [
"Tobias Christian Nauen",
"Sebastian Palacio",
"Federico Raue",
"Andreas Dengel"
] | https://openaccess.thecvf.com/content/WACV2025/html/Nauen_Which_Transformer_to_Favor_A_Comparative_Analysis_of_Efficiency_in_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Nauen_Which_Transformer_to_Favor_A_Comparative_Analysis_of_Efficiency_in_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Nauen_Which_Transformer_to_WACV_2025_supplemental.pdf | 2308.09372 | cvf | @InProceedings{Nauen_2025_WACV,
author = {Nauen, Tobias Christian and Palacio, Sebastian and Raue, Federico and Dengel, Andreas},
title = {Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers},
booktitle = {Proceedings of the Winter Conference on Applications of Com... | Self-attention in Transformers comes with a high computational cost because of their quadratic computational complexity but their effectiveness in addressing problems in language and vision has sparked extensive research aimed at enhancing their efficiency. However diverse experimental conditions spanning multiple inpu... |
Bafghi_MixDiff_Mixing_Natural_and_Synthetic_Images_for_Robust_Self-Supervised_Representations_WACV_2025_paper | MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations | [
"Reza Akbarian Bafghi",
"Nidhin Harilal",
"Maziar Raissi",
"Claire Monteleoni"
] | https://openaccess.thecvf.com/content/WACV2025/html/Bafghi_MixDiff_Mixing_Natural_and_Synthetic_Images_for_Robust_Self-Supervised_Representations_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Bafghi_MixDiff_Mixing_Natural_and_Synthetic_Images_for_Robust_Self-Supervised_Representations_WACV_2025_paper.pdf | null | 2406.12368 | cvf | @InProceedings{Bafghi_2025_WACV,
author = {Bafghi, Reza Akbarian and Harilal, Nidhin and Raissi, Maziar and Monteleoni, Claire},
title = {MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations},
booktitle = {Proceedings of the Winter Conference on Applications of Comp... | This paper introduces MixDiff a new self-supervised learning (SSL) pre-training framework that combines real and synthetic images. Unlike traditional SSL methods that predominantly use real images MixDiff uses a variant of Stable Diffusion to replace an augmented instance of a real image facilitating the learning of cr... |
Hu_Covariance-Based_Space_Regularization_for_Few-Shot_Class_Incremental_Learning_WACV_2025_paper | Covariance-Based Space Regularization for Few-Shot Class Incremental Learning | [
"Yijie Hu",
"Guanyu Yang",
"Zhaorui Tan",
"Xiaowei Wang",
"Kaizhu Huang",
"Qiu-Feng Wang"
] | https://openaccess.thecvf.com/content/WACV2025/html/Hu_Covariance-Based_Space_Regularization_for_Few-Shot_Class_Incremental_Learning_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Hu_Covariance-Based_Space_Regularization_for_Few-Shot_Class_Incremental_Learning_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Hu_Covariance-Based_Space_Regularization_WACV_2025_supplemental.pdf | 2411.01172 | cvf | @InProceedings{Hu_2025_WACV,
author = {Hu, Yijie and Yang, Guanyu and Tan, Zhaorui and Wang, Xiaowei and Huang, Kaizhu and Wang, Qiu-Feng},
title = {Covariance-Based Space Regularization for Few-Shot Class Incremental Learning},
booktitle = {Proceedings of the Winter Conference on Applications of Com... | Few-shot Class Incremental Learning (FSCIL) presents a challenging yet realistic scenario which requires the model to continually learn new classes with limited labeled data (i.e. incremental sessions) while retaining knowledge of previously learned base classes (i.e. base sessions). Due to the limited data in incremen... |
Corneanu_Structured_Human_Assessment_of_Text-to-Image_Generative_Models_WACV_2025_paper | Structured Human Assessment of Text-to-Image Generative Models | [
"Ciprian A. Corneanu",
"Qianli Feng",
"Aleix M. Martinez"
] | https://openaccess.thecvf.com/content/WACV2025/html/Corneanu_Structured_Human_Assessment_of_Text-to-Image_Generative_Models_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Corneanu_Structured_Human_Assessment_of_Text-to-Image_Generative_Models_WACV_2025_paper.pdf | null | null | null | @InProceedings{Corneanu_2025_WACV,
author = {Corneanu, Ciprian A. and Feng, Qianli and Martinez, Aleix M.},
title = {Structured Human Assessment of Text-to-Image Generative Models},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February... | Following the great progress in text-conditioned image generation there is a dire need for establishing clear comparison benchmarks. Unfortunately assessing performance of such models is highly subjective and notoriously difficult. Current automatic assessment of generated images quality and their alignment to text are... |
Sato_Unsupervised_Single-Image_Intrinsic_Image_Decomposition_with_LiDAR_Intensity_Enhanced_Training_WACV_2025_paper | Unsupervised Single-Image Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training | [
"Shogo Sato",
"Takuhiro Kaneko",
"Kazuhiko Murasaki",
"Taiga Yoshida",
"Ryuichi Tanida",
"Akisato Kimura"
] | https://openaccess.thecvf.com/content/WACV2025/html/Sato_Unsupervised_Single-Image_Intrinsic_Image_Decomposition_with_LiDAR_Intensity_Enhanced_Training_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Sato_Unsupervised_Single-Image_Intrinsic_Image_Decomposition_with_LiDAR_Intensity_Enhanced_Training_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Sato_Unsupervised_Single-Image_Intrinsic_WACV_2025_supplemental.pdf | 2403.14089 | title_judge | @InProceedings{Sato_2025_WACV,
author = {Sato, Shogo and Kaneko, Takuhiro and Murasaki, Kazuhiko and Yoshida, Taiga and Tanida, Ryuichi and Kimura, Akisato},
title = {Unsupervised Single-Image Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training},
booktitle = {Proceedings of the Winte... | Unsupervised intrinsic image decomposition (IID) is the task of separating a natural image into albedo and shade without ground truth during training. Although a recent model employing light detection and ranging (LiDAR) intensity demonstrated impressive performance the necessity of LiDAR intensity during inference res... |
Tsai_3D_Synthesis_for_Architectural_Design_WACV_2025_paper | 3D Synthesis for Architectural Design | [
"I-Ting Tsai",
"Bharath Hariharan"
] | https://openaccess.thecvf.com/content/WACV2025/html/Tsai_3D_Synthesis_for_Architectural_Design_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Tsai_3D_Synthesis_for_Architectural_Design_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Tsai_3D_Synthesis_for_WACV_2025_supplemental.pdf | null | null | @InProceedings{Tsai_2025_WACV,
author = {Tsai, I-Ting and Hariharan, Bharath},
title = {3D Synthesis for Architectural Design},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February},
year = {2025},
pages = {4799-4809}... | We introduce a 3D synthesis method for architectural design to allow for the efficient generation of diverse and realistic building designs. In spite of advances in 3D synthesis current off-the-shelf 3D synthesis techniques are inappropriate for architectural design: they are trained primarily on isolated objects have ... |
Shen_Assessing_Visually-Continuous_Corruption_Robustness_of_Neural_Networks_Relative_to_Human_WACV_2025_paper | Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance | [
"Huakun Shen",
"Boyue Hu",
"Krzysztof Czarnecki",
"Lina Marsso",
"Marsha Chechik"
] | https://openaccess.thecvf.com/content/WACV2025/html/Shen_Assessing_Visually-Continuous_Corruption_Robustness_of_Neural_Networks_Relative_to_Human_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Shen_Assessing_Visually-Continuous_Corruption_Robustness_of_Neural_Networks_Relative_to_Human_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Shen_Assessing_Visually-Continuous_Corruption_WACV_2025_supplemental.pdf | 2402.19401 | cvf | @InProceedings{Shen_2025_WACV,
author = {Shen, Huakun and Hu, Boyue and Czarnecki, Krzysztof and Marsso, Lina and Chechik, Marsha},
title = {Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance},
booktitle = {Proceedings of the Winter Conference on Appl... | Neural Networks (NNs) have surpassed human accuracy in image classification on ImageNet yet they often lack robustness against image corruption i.e. corruption robustness with such robustness being seemingly effortless for human perception. In this paper we propose visually-continuous corruption robustness (VCR) - an e... |
Liu_SMDAF_A_Scalable_Sidewalk_Material_Data_Acquisition_Framework_with_Bidirectional_WACV_2025_paper | SMDAF: A Scalable Sidewalk Material Data Acquisition Framework with Bidirectional Cross-Modal Knowledge Distillation | [
"Jiawei Liu",
"Wayne Lam",
"Zhigang Zhu",
"Hao Tang"
] | https://openaccess.thecvf.com/content/WACV2025/html/Liu_SMDAF_A_Scalable_Sidewalk_Material_Data_Acquisition_Framework_with_Bidirectional_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Liu_SMDAF_A_Scalable_Sidewalk_Material_Data_Acquisition_Framework_with_Bidirectional_WACV_2025_paper.pdf | null | null | null | @InProceedings{Liu_2025_WACV,
author = {Liu, Jiawei and Lam, Wayne and Zhu, Zhigang and Tang, Hao},
title = {SMDAF: A Scalable Sidewalk Material Data Acquisition Framework with Bidirectional Cross-Modal Knowledge Distillation},
booktitle = {Proceedings of the Winter Conference on Applications of Comp... | Ensuring safe and independent navigation poses considerable difficulties for individuals who are blind or have low vision (BLV) as it requires detailed knowledge of their immediate environment. Our research highlights the critical need for accessible data on sidewalk materials and objects which is currently lacking in ... |
Witte_Epipolar_Attention_Field_Transformers_for_Birds_Eye_View_Semantic_Segmentation_WACV_2025_paper | Epipolar Attention Field Transformers for Bird's Eye View Semantic Segmentation | [
"Christian Witte",
"Jens Behley",
"Cyrill Stachniss",
"Marvin Raaijmakers"
] | https://openaccess.thecvf.com/content/WACV2025/html/Witte_Epipolar_Attention_Field_Transformers_for_Birds_Eye_View_Semantic_Segmentation_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Witte_Epipolar_Attention_Field_Transformers_for_Birds_Eye_View_Semantic_Segmentation_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Witte_Epipolar_Attention_Field_WACV_2025_supplemental.pdf | 2412.01595 | title_snapshot | @InProceedings{Witte_2025_WACV,
author = {Witte, Christian and Behley, Jens and Stachniss, Cyrill and Raaijmakers, Marvin},
title = {Epipolar Attention Field Transformers for Bird's Eye View Semantic Segmentation},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (... | Spatial understanding of the semantics of the surroundings is a key capability needed by autonomous cars to enable safe driving decisions. Recently purely vision-based solutions have gained increasing research interest. In particular approaches extracting a bird's eye view (BEV) from multiple cameras have demonstrated ... |
Rajic_Segment_Anything_Meets_Point_Tracking_WACV_2025_paper | Segment Anything Meets Point Tracking | [
"Frano Rajič",
"Lei Ke",
"Yu-Wing Tai",
"Chi-Keung Tang",
"Martin Danelljan",
"Fisher Yu"
] | https://openaccess.thecvf.com/content/WACV2025/html/Rajic_Segment_Anything_Meets_Point_Tracking_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Rajic_Segment_Anything_Meets_Point_Tracking_WACV_2025_paper.pdf | null | 2307.01197 | title_snapshot | @InProceedings{Rajic_2025_WACV,
author = {Raji\v{c}, Frano and Ke, Lei and Tai, Yu-Wing and Tang, Chi-Keung and Danelljan, Martin and Yu, Fisher},
title = {Segment Anything Meets Point Tracking},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month ... | Foundation models have marked a significant stride toward addressing generalization challenges in deep learning. While the Segment Anything Model (SAM) has established a strong foothold in image segmentation existing video segmentation methods still require extensive mask labeling for fine-tuning or face performance dr... |
Berger_Cross-Domain_and_Cross-Dimension_Learning_for_Image-to-Graph_Transformers_WACV_2025_paper | Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers | [
"Alexander H. Berger",
"Laurin Lux",
"Suprosanna Shit",
"Ivan Ezhof",
"Georgios Kaissis",
"Martin J. Menten",
"Daniel Rueckert",
"Johannes C. Paetzold"
] | https://openaccess.thecvf.com/content/WACV2025/html/Berger_Cross-Domain_and_Cross-Dimension_Learning_for_Image-to-Graph_Transformers_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Berger_Cross-Domain_and_Cross-Dimension_Learning_for_Image-to-Graph_Transformers_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Berger_Cross-Domain_and_Cross-Dimension_WACV_2025_supplemental.pdf | 2403.06601 | cvf | @InProceedings{Berger_2025_WACV,
author = {Berger, Alexander H. and Lux, Laurin and Shit, Suprosanna and Ezhof, Ivan and Kaissis, Georgios and Menten, Martin J. and Rueckert, Daniel and Paetzold, Johannes C.},
title = {Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers},
bookti... | Direct image-to-graph transformation is a challenging task solving object detection and relationship prediction in a single model. Due to this task's complexity large training datasets are rare in many domains making the training of deep-learning methods challenging. This data sparsity necessitates transfer learning st... |
Hashmi_Beyond_Boxes_Mask-Guided_Spatio-Temporal_Feature_Aggregation_for_Video_Object_Detection_WACV_2025_paper | Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection | [
"Khurram Azeem Hashmi",
"Talha Uddin Sheikh",
"Didier Stricker",
"Muhammad Zeshan Afzal"
] | https://openaccess.thecvf.com/content/WACV2025/html/Hashmi_Beyond_Boxes_Mask-Guided_Spatio-Temporal_Feature_Aggregation_for_Video_Object_Detection_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Hashmi_Beyond_Boxes_Mask-Guided_Spatio-Temporal_Feature_Aggregation_for_Video_Object_Detection_WACV_2025_paper.pdf | null | 2412.04915 | cvf | @InProceedings{Hashmi_2025_WACV,
author = {Hashmi, Khurram Azeem and Sheikh, Talha Uddin and Stricker, Didier and Afzal, Muhammad Zeshan},
title = {Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection},
booktitle = {Proceedings of the Winter Conference on Applicati... | The primary challenge in Video Object Detection (VOD) is effectively exploiting temporal information to enhance object representations. Traditional strategies such as aggregating region proposals often suffer from feature variance due to the inclusion of background information. We introduce a novel instance mask-based ... |
Mu_SpiralMLP_A_Lightweight_Vision_MLP_Architecture_WACV_2025_paper | SpiralMLP: A Lightweight Vision MLP Architecture | [
"Haojie Mu",
"Burhan Ul Tayyab",
"Nicholas Chua"
] | https://openaccess.thecvf.com/content/WACV2025/html/Mu_SpiralMLP_A_Lightweight_Vision_MLP_Architecture_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Mu_SpiralMLP_A_Lightweight_Vision_MLP_Architecture_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Mu_SpiralMLP_A_Lightweight_WACV_2025_supplemental.pdf | 2404.00648 | cvf | @InProceedings{Mu_2025_WACV,
author = {Mu, Haojie and Tayyab, Burhan Ul and Chua, Nicholas},
title = {SpiralMLP: A Lightweight Vision MLP Architecture},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February},
year = {2025},
... | We present SpiralMLP a novel architecture introduces a Spiral FC layer as a replacement for the conventional Token Mixing approach. Differing from several existing MLP-based models that primarily emphasize axes our Spiral FC layer is designed as a deformable convolution layer with spiral-like offsets. We further adapt ... |
Zhang_On-the-Fly_Object-aware_Representative_Point_Selection_in_Point_Cloud_WACV_2025_paper | On-the-Fly Object-aware Representative Point Selection in Point Cloud | [
"Xiaoyu Zhang",
"Ziwei Wang",
"Hai Dong",
"Zhifeng Bao",
"Jiajun Liu"
] | https://openaccess.thecvf.com/content/WACV2025/html/Zhang_On-the-Fly_Object-aware_Representative_Point_Selection_in_Point_Cloud_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Zhang_On-the-Fly_Object-aware_Representative_Point_Selection_in_Point_Cloud_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Zhang_On-the-Fly_Object-aware_Representative_WACV_2025_supplemental.pdf | 2508.01980 | title_snapshot | @InProceedings{Zhang_2025_WACV,
author = {Zhang, Xiaoyu and Wang, Ziwei and Dong, Hai and Bao, Zhifeng and Liu, Jiajun},
title = {On-the-Fly Object-aware Representative Point Selection in Point Cloud},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
m... | Point clouds are essential for object modeling and play a critical role in assisting driving tasks for autonomous vehicles (AVs). However the significant volume of data generated by AVs creates challenges for storage bandwidth and processing cost. To tackle these challenges we propose a representative point selection f... |
Damirchi_Socially-Informed_Reconstruction_for_Pedestrian_Trajectory_Forecasting_WACV_2025_paper | Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting | [
"Haleh Damirchi",
"Ali Etemad",
"Michael Greenspan"
] | https://openaccess.thecvf.com/content/WACV2025/html/Damirchi_Socially-Informed_Reconstruction_for_Pedestrian_Trajectory_Forecasting_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Damirchi_Socially-Informed_Reconstruction_for_Pedestrian_Trajectory_Forecasting_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Damirchi_Socially-Informed_Reconstruction_for_WACV_2025_supplemental.pdf | 2412.04673 | cvf | @InProceedings{Damirchi_2025_WACV,
author = {Damirchi, Haleh and Etemad, Ali and Greenspan, Michael},
title = {Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {Februa... | Pedestrian trajectory prediction remains a challenge for autonomous systems particularly due to the intricate dynamics of social interactions. Accurate forecasting requires a comprehensive understanding not only of each pedestrian's previous trajectory but also of their interaction with the surrounding environment an i... |
Ye_Continuous_Spatio-Temporal_Memory_Networks_for_4D_Cardiac_Cine_MRI_Segmentation_WACV_2025_paper | Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation | [
"Meng Ye",
"Bingyu Xin",
"Leon Axel",
"Dimitris Metaxas"
] | https://openaccess.thecvf.com/content/WACV2025/html/Ye_Continuous_Spatio-Temporal_Memory_Networks_for_4D_Cardiac_Cine_MRI_Segmentation_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Ye_Continuous_Spatio-Temporal_Memory_Networks_for_4D_Cardiac_Cine_MRI_Segmentation_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Ye_Continuous_Spatio-Temporal_Memory_WACV_2025_supplemental.pdf | 2410.23191 | cvf | @InProceedings{Ye_2025_WACV,
author = {Ye, Meng and Xin, Bingyu and Axel, Leon and Metaxas, Dimitris},
title = {Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month ... | Current cardiac cine magnetic resonance image (cMR) studies focus on the end diastole (ED) and end systole (ES) phases while ignoring the abundant temporal information in the whole image sequence. This is because whole sequence segmentation is currently a tedious process and inaccurate. Conventional whole sequence segm... |
Islam_Foundation_X_Integrating_Classification_Localization_and_Segmentation_through_Lock-Release_Pretraining_WACV_2025_paper | Foundation X: Integrating Classification Localization and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Analysis | [
"Nahid Ul Islam",
"DongAo Ma",
"Jiaxuan Pang",
"Shivasakthi Senthil Velan",
"Michael Gotway",
"Jianming Liang"
] | https://openaccess.thecvf.com/content/WACV2025/html/Islam_Foundation_X_Integrating_Classification_Localization_and_Segmentation_through_Lock-Release_Pretraining_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Islam_Foundation_X_Integrating_Classification_Localization_and_Segmentation_through_Lock-Release_Pretraining_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Islam_Foundation_X_Integrating_WACV_2025_supplemental.pdf | 2503.09860 | title_snapshot | @InProceedings{Islam_2025_WACV,
author = {Islam, Nahid Ul and Ma, DongAo and Pang, Jiaxuan and Velan, Shivasakthi Senthil and Gotway, Michael and Liang, Jianming},
title = {Foundation X: Integrating Classification Localization and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Ana... | Developing robust and versatile deep-learning models is essential for enhancing diagnostic accuracy and guiding clinical interventions in medical imaging but it requires a large amount of annotated data. The advancement of deep learning has facilitated the creation of numerous medical datasets with diverse expert-level... |
Shen_MVMD_A_Multi-View_Approach_for_Enhanced_Mirror_Detection_WACV_2025_paper | MVMD: A Multi-View Approach for Enhanced Mirror Detection | [
"Yidan Shen",
"Yu Wen",
"Chen Zhang",
"Xin Fu",
"Renjie Hu"
] | https://openaccess.thecvf.com/content/WACV2025/html/Shen_MVMD_A_Multi-View_Approach_for_Enhanced_Mirror_Detection_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Shen_MVMD_A_Multi-View_Approach_for_Enhanced_Mirror_Detection_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Shen_MVMD_A_Multi-View_WACV_2025_supplemental.pdf | null | null | @InProceedings{Shen_2025_WACV,
author = {Shen, Yidan and Wen, Yu and Zhang, Chen and Fu, Xin and Hu, Renjie},
title = {MVMD: A Multi-View Approach for Enhanced Mirror Detection},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February},
... | In 3D reconstruction mirrors introduce significant challenges by creating distorted and fragmented spaces resulting in inaccurate and unreliable 3D models. As 3D reconstruction typically relies on multi-view images to capture different perspectives of a scene detecting and labeling mirrors in multi-view images before r... |
Sun_Mind_the_Map_Accounting_for_Existing_Maps_When_Estimating_Online_WACV_2025_paper | Mind the Map! Accounting for Existing Maps When Estimating Online HDMaps from Sensors | [
"Rémy Sun",
"Li Yang",
"Diane Lingrand",
"Frederic Precioso"
] | https://openaccess.thecvf.com/content/WACV2025/html/Sun_Mind_the_Map_Accounting_for_Existing_Maps_When_Estimating_Online_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Sun_Mind_the_Map_Accounting_for_Existing_Maps_When_Estimating_Online_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Sun_Mind_the_Map_WACV_2025_supplemental.pdf | 2311.10517 | title_judge | @InProceedings{Sun_2025_WACV,
author = {Sun, R\'emy and Yang, Li and Lingrand, Diane and Precioso, Frederic},
title = {Mind the Map! Accounting for Existing Maps When Estimating Online HDMaps from Sensors},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
... | While HDMaps are a crucial component of autonomous driving they are expensive to acquire and maintain. Estimating these maps from sensors therefore promises to significantly lighten costs. These estimations however overlook existing HDMaps with current methods at most geolocalizing low quality maps or considering a gen... |
Raja_Treading_Towards_Privacy-Preserving_Table_Structure_Recognition_WACV_2025_paper | Treading Towards Privacy-Preserving Table Structure Recognition | [
"Sachin Raja",
"Ajoy Mondal",
"C.V. Jawahar"
] | https://openaccess.thecvf.com/content/WACV2025/html/Raja_Treading_Towards_Privacy-Preserving_Table_Structure_Recognition_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Raja_Treading_Towards_Privacy-Preserving_Table_Structure_Recognition_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Raja_Treading_Towards_Privacy-Preserving_WACV_2025_supplemental.pdf | null | null | @InProceedings{Raja_2025_WACV,
author = {Raja, Sachin and Mondal, Ajoy and Jawahar, C.V.},
title = {Treading Towards Privacy-Preserving Table Structure Recognition},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February},
year ... | We present TabGuard a privacy-preserving framework for an end-to-end secure Table Structure Recognition. TabGuard masks all the contents of the table locally and utilizes the masked table image for structure recognition. Our method is simple yet effective for detecting table cells while preserving the inherent table al... |
Liu_TreeFormer_Single-View_Plant_Skeleton_Estimation_via_Tree-Constrained_Graph_Generation_WACV_2025_paper | TreeFormer: Single-View Plant Skeleton Estimation via Tree-Constrained Graph Generation | [
"Xinpeng Liu",
"Hiroaki Santo",
"Yosuke Toda",
"Fumio Okura"
] | https://openaccess.thecvf.com/content/WACV2025/html/Liu_TreeFormer_Single-View_Plant_Skeleton_Estimation_via_Tree-Constrained_Graph_Generation_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Liu_TreeFormer_Single-View_Plant_Skeleton_Estimation_via_Tree-Constrained_Graph_Generation_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Liu_TreeFormer_Single-View_Plant_WACV_2025_supplemental.pdf | 2411.16132 | cvf | @InProceedings{Liu_2025_WACV,
author = {Liu, Xinpeng and Santo, Hiroaki and Toda, Yosuke and Okura, Fumio},
title = {TreeFormer: Single-View Plant Skeleton Estimation via Tree-Constrained Graph Generation},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
... | Accurate estimation of plant skeletal structure (e.g. branching structure) from images is essential for smart agriculture and plant science. Unlike human skeletons with fixed topology plant skeleton estimation presents a unique challenge i.e. estimating arbitrary tree graphs from images. While recent graph generation m... |
Adaloglou_Rethinking_Cluster-Conditioned_Diffusion_Models_for_Label-Free_Image_Synthesis_WACV_2025_paper | Rethinking Cluster-Conditioned Diffusion Models for Label-Free Image Synthesis | [
"Nikolaos Adaloglou",
"Tim Kaiser",
"Felix Michels",
"Markus Kollmann"
] | https://openaccess.thecvf.com/content/WACV2025/html/Adaloglou_Rethinking_Cluster-Conditioned_Diffusion_Models_for_Label-Free_Image_Synthesis_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Adaloglou_Rethinking_Cluster-Conditioned_Diffusion_Models_for_Label-Free_Image_Synthesis_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Adaloglou_Rethinking_Cluster-Conditioned_Diffusion_WACV_2025_supplemental.pdf | 2403.00570 | cvf | @InProceedings{Adaloglou_2025_WACV,
author = {Adaloglou, Nikolaos and Kaiser, Tim and Michels, Felix and Kollmann, Markus},
title = {Rethinking Cluster-Conditioned Diffusion Models for Label-Free Image Synthesis},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (W... | Diffusion-based image generation models can enhance image quality when conditioned on ground truth labels. Here we conduct a comprehensive experimental study on image-level conditioning for diffusion models using cluster assignments. We investigate how individual clustering determinants such as the number of clusters a... |
Rao_Robust_Portrait_Image_Matting_and_Depth-of-Field_Synthesis_via_Multiplane_Images_WACV_2025_paper | Robust Portrait Image Matting and Depth-of-Field Synthesis via Multiplane Images | [
"Zhefan Rao",
"Tianjia Zhang",
"Yuen Fui Lau",
"Qifeng Chen"
] | https://openaccess.thecvf.com/content/WACV2025/html/Rao_Robust_Portrait_Image_Matting_and_Depth-of-Field_Synthesis_via_Multiplane_Images_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Rao_Robust_Portrait_Image_Matting_and_Depth-of-Field_Synthesis_via_Multiplane_Images_WACV_2025_paper.pdf | null | null | null | @InProceedings{Rao_2025_WACV,
author = {Rao, Zhefan and Zhang, Tianjia and Lau, Yuen Fui and Chen, Qifeng},
title = {Robust Portrait Image Matting and Depth-of-Field Synthesis via Multiplane Images},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
mon... | High-quality portrait photography has become an essential function in our daily lives. However due to the limited aperture and focal length of a smartphone camera images captured by a smartphone cannot match the same level of bokeh effect by a digital single-lens reflex camera. A typical solution on a smartphone is to ... |
Moradi_Context-Aware_Outlier_Rejection_for_Robust_Multi-View_3D_Tracking_of_Similar_WACV_2025_paper | Context-Aware Outlier Rejection for Robust Multi-View 3D Tracking of Similar Small Birds in An Outdoor Aviary | [
"Keon Moradi",
"Ethan Haque",
"Jasmeen Kaur",
"Alexandra B. Bentz",
"Eli S. Bridge",
"Golnaz Habibi"
] | https://openaccess.thecvf.com/content/WACV2025/html/Moradi_Context-Aware_Outlier_Rejection_for_Robust_Multi-View_3D_Tracking_of_Similar_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Moradi_Context-Aware_Outlier_Rejection_for_Robust_Multi-View_3D_Tracking_of_Similar_WACV_2025_paper.pdf | null | 2412.16511 | cvf | @InProceedings{Moradi_2025_WACV,
author = {Moradi, Keon and Haque, Ethan and Kaur, Jasmeen and Bentz, Alexandra B. and Bridge, Eli S. and Habibi, Golnaz},
title = {Context-Aware Outlier Rejection for Robust Multi-View 3D Tracking of Similar Small Birds in An Outdoor Aviary},
booktitle = {Proceedings ... | This paper presents a novel approach for robust 3D tracking of multiple birds in an outdoor aviary using a multi-camera system. Our method addresses the significant challenges posed by the visual similarity of birds and the complexities of their rapid movements in three-dimensional space. We leverage environmental cont... |
Zhang_MLLM-LLaVA-FL_Multimodal_Large_Language_Model_Assisted_Federated_Learning_WACV_2025_paper | MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning | [
"Jianyi Zhang",
"Hao Yang",
"Ang Li",
"Xin Guo",
"Pu Wang",
"Haiming Wang",
"Yiran Chen",
"Hai Li"
] | https://openaccess.thecvf.com/content/WACV2025/html/Zhang_MLLM-LLaVA-FL_Multimodal_Large_Language_Model_Assisted_Federated_Learning_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Zhang_MLLM-LLaVA-FL_Multimodal_Large_Language_Model_Assisted_Federated_Learning_WACV_2025_paper.pdf | null | 2409.06067 | title_snapshot | @InProceedings{Zhang_2025_WACV,
author = {Zhang, Jianyi and Yang, Hao and Li, Ang and Guo, Xin and Wang, Pu and Wang, Haiming and Chen, Yiran and Li, Hai},
title = {MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning},
booktitle = {Proceedings of the Winter Conference on Applic... | Previous studies on federated learning (FL) often encounter performance degradation due to data heterogeneity among different clients. In light of the recent advances in multimodal large language models (MLLMs) such as GPT-4v and LLaVA which demonstrate their exceptional proficiency in multimodal tasks such as image ca... |
Kung_Face_Anonymization_Made_Simple_WACV_2025_paper | Face Anonymization Made Simple | [
"Han-Wei Kung",
"Tuomas Varanka",
"Sanjay Saha",
"Terence Sim",
"Nicu Sebe"
] | https://openaccess.thecvf.com/content/WACV2025/html/Kung_Face_Anonymization_Made_Simple_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Kung_Face_Anonymization_Made_Simple_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Kung_Face_Anonymization_Made_WACV_2025_supplemental.pdf | 2411.00762 | cvf | @InProceedings{Kung_2025_WACV,
author = {Kung, Han-Wei and Varanka, Tuomas and Saha, Sanjay and Sim, Terence and Sebe, Nicu},
title = {Face Anonymization Made Simple},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February},
year ... | Current face anonymization techniques often depend on identity loss calculated by face recognition models which can be inaccurate and unreliable. Additionally many methods require supplementary data such as facial landmarks and masks to guide the synthesis process. In contrast our approach uses diffusion models with on... |
De_Vita_Diffusion_Model_Guided_Sampling_with_Pixel-Wise_Aleatoric_Uncertainty_Estimation_WACV_2025_paper | Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation | [
"Michele De Vita",
"Vasileios Belagiannis"
] | https://openaccess.thecvf.com/content/WACV2025/html/De_Vita_Diffusion_Model_Guided_Sampling_with_Pixel-Wise_Aleatoric_Uncertainty_Estimation_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/De_Vita_Diffusion_Model_Guided_Sampling_with_Pixel-Wise_Aleatoric_Uncertainty_Estimation_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/De_Vita_Diffusion_Model_Guided_WACV_2025_supplemental.pdf | 2412.00205 | cvf | @InProceedings{De_Vita_2025_WACV,
author = {De Vita, Michele and Belagiannis, Vasileios},
title = {Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February... | Despite the remarkable progress in generative modelling current diffusion models lack a quantitative approach to assess image quality. To address this limitation we propose to estimate the pixel-wise aleatoric uncertainty during the sampling phase of diffusion models and utilise the uncertainty to improve the sample ge... |
Hepburn-Dickins_SIGNN_-_Star_Identification_using_Graph_Neural_Networks_WACV_2025_paper | SIGNN - Star Identification using Graph Neural Networks | [
"Floyd Hepburn-Dickins",
"Mark W. Jones",
"Mike Edwards",
"Jay Paul Morgan",
"Steve Bell"
] | https://openaccess.thecvf.com/content/WACV2025/html/Hepburn-Dickins_SIGNN_-_Star_Identification_using_Graph_Neural_Networks_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Hepburn-Dickins_SIGNN_-_Star_Identification_using_Graph_Neural_Networks_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Hepburn-Dickins_SIGNN_-_Star_WACV_2025_supplemental.pdf | null | null | @InProceedings{Hepburn-Dickins_2025_WACV,
author = {Hepburn-Dickins, Floyd and Jones, Mark W. and Edwards, Mike and Morgan, Jay Paul and Bell, Steve},
title = {SIGNN - Star Identification using Graph Neural Networks},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Visio... | As a solution for the lost-in-space star identification problem we present Star Identification using Graph Neural Network (SIGNN) a novel approach using Graph Attention Networks. By representing the celestial sphere as a graph data structure created from the ESA's Hipparcos catalogue we are able to accurately capture t... |
Buchheim_Controlling_Human_Shape_and_Pose_in_Text-to-Image_Diffusion_Models_via_WACV_2025_paper | Controlling Human Shape and Pose in Text-to-Image Diffusion Models via Domain Adaptation | [
"Benito Buchheim",
"Max Reimann",
"Jürgen Döllner"
] | https://openaccess.thecvf.com/content/WACV2025/html/Buchheim_Controlling_Human_Shape_and_Pose_in_Text-to-Image_Diffusion_Models_via_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Buchheim_Controlling_Human_Shape_and_Pose_in_Text-to-Image_Diffusion_Models_via_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Buchheim_Controlling_Human_Shape_WACV_2025_supplemental.pdf | 2411.04724 | title_snapshot | @InProceedings{Buchheim_2025_WACV,
author = {Buchheim, Benito and Reimann, Max and D\"ollner, J\"urgen},
title = {Controlling Human Shape and Pose in Text-to-Image Diffusion Models via Domain Adaptation},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
... | We present a methodology for conditional control of human shape and pose in pretrained text-to-image diffusion models using a 3D human parametric model (SMPL). Fine-tuning these diffusion models to adhere to new conditions requires large datasets and high-quality annotations which can be more cost-effectively acquired ... |
Kravets_Zero-Shot_Class_Unlearning_in_CLIP_with_Synthetic_Samples_WACV_2025_paper | Zero-Shot Class Unlearning in CLIP with Synthetic Samples | [
"Alexey Kravets",
"Vinay Namboodiri"
] | https://openaccess.thecvf.com/content/WACV2025/html/Kravets_Zero-Shot_Class_Unlearning_in_CLIP_with_Synthetic_Samples_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Kravets_Zero-Shot_Class_Unlearning_in_CLIP_with_Synthetic_Samples_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Kravets_Zero-Shot_Class_Unlearning_WACV_2025_supplemental.pdf | 2407.07485 | cvf | @InProceedings{Kravets_2025_WACV,
author = {Kravets, Alexey and Namboodiri, Vinay},
title = {Zero-Shot Class Unlearning in CLIP with Synthetic Samples},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February},
year = {2025},
... | Machine unlearning is a crucial area of research. It is driven by the need to remove sensitive information from models to safeguard individuals' right to be forgotten under rigorous regulations such as GDPR. In this work we focus on unlearning within CLIP a dual vision-language encoder model trained on a massive datase... |
Rosh_XPose_Towards_Extreme_Low_Light_Hand_Pose_Estimation_WACV_2025_paper | XPose: Towards Extreme Low Light Hand Pose Estimation | [
"Green Rosh",
"Meghana Shankar",
"Prateek Kukreja",
"Anmol Namdev",
"Pawan Prasad B H"
] | https://openaccess.thecvf.com/content/WACV2025/html/Rosh_XPose_Towards_Extreme_Low_Light_Hand_Pose_Estimation_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Rosh_XPose_Towards_Extreme_Low_Light_Hand_Pose_Estimation_WACV_2025_paper.pdf | null | null | null | @InProceedings{Rosh_2025_WACV,
author = {Rosh, Green and Shankar, Meghana and Kukreja, Prateek and Namdev, Anmol and H, Pawan Prasad B},
title = {XPose: Towards Extreme Low Light Hand Pose Estimation},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
m... | Recent advances in deep learning have enabled considerable strides in hand pose estimation in well-lit conditions. However to the best of our knowledge there is no existing method for hand pose estimation from RGB images captured in low light conditions. This task is highly challenging due to the overwhelming amount of... |
He_HDPNet_Hourglass_Vision_Transformer_with_Dual-Path_Feature_Pyramid_for_Camouflaged_WACV_2025_paper | HDPNet: Hourglass Vision Transformer with Dual-Path Feature Pyramid for Camouflaged Object Detection | [
"Jinpeng He",
"Biyuan Liu",
"Huaixin Chen"
] | https://openaccess.thecvf.com/content/WACV2025/html/He_HDPNet_Hourglass_Vision_Transformer_with_Dual-Path_Feature_Pyramid_for_Camouflaged_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/He_HDPNet_Hourglass_Vision_Transformer_with_Dual-Path_Feature_Pyramid_for_Camouflaged_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/He_HDPNet_Hourglass_Vision_WACV_2025_supplemental.pdf | null | null | @InProceedings{He_2025_WACV,
author = {He, Jinpeng and Liu, Biyuan and Chen, Huaixin},
title = {HDPNet: Hourglass Vision Transformer with Dual-Path Feature Pyramid for Camouflaged Object Detection},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
mont... | Existing camouflaged object detection methods often struggle with detecting small objects and fine object boundaries. To alleviate these issues we propose a novel hourglass vision Transformer with Dual-path Feature Pyramid (HDPNet). Specifically we construct an hourglass Transformer encoder that effectively captures th... |
Chen_SEM-Net_Efficient_Pixel_Modelling_for_Image_Inpainting_with_Spatially_Enhanced_WACV_2025_paper | SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM | [
"Shuang Chen",
"Haozheng Zhang",
"Amir Atapour-Abarghouei",
"Hubert P. H. Shum"
] | https://openaccess.thecvf.com/content/WACV2025/html/Chen_SEM-Net_Efficient_Pixel_Modelling_for_Image_Inpainting_with_Spatially_Enhanced_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Chen_SEM-Net_Efficient_Pixel_Modelling_for_Image_Inpainting_with_Spatially_Enhanced_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Chen_SEM-Net_Efficient_Pixel_WACV_2025_supplemental.pdf | 2411.06318 | title_snapshot | @InProceedings{Chen_2025_WACV,
author = {Chen, Shuang and Zhang, Haozheng and Atapour-Abarghouei, Amir and Shum, Hubert P. H.},
title = {SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM},
booktitle = {Proceedings of the Winter Conference on Applications of Computer ... | Image inpainting aims to repair a partially damaged image based on the information from known regions of the images. Achieving semantically plausible inpainting results is particularly challenging because it requires the reconstructed regions to exhibit similar patterns to the semantically consistent regions. This requ... |
Apolinario_LLS_Local_Learning_Rule_for_Deep_Neural_Networks_Inspired_by_WACV_2025_paper | LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization | [
"Marco P. E. Apolinario",
"Arani Roy",
"Kaushik Roy"
] | https://openaccess.thecvf.com/content/WACV2025/html/Apolinario_LLS_Local_Learning_Rule_for_Deep_Neural_Networks_Inspired_by_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Apolinario_LLS_Local_Learning_Rule_for_Deep_Neural_Networks_Inspired_by_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Apolinario_LLS_Local_Learning_WACV_2025_supplemental.zip | 2405.15868 | cvf | @InProceedings{Apolinario_2025_WACV,
author = {Apolinario, Marco P. E. and Roy, Arani and Roy, Kaushik},
title = {LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)... | Training deep neural networks (DNNs) using traditional backpropagation (BP) presents challenges in terms of computational complexity and energy consumption particularly for on-device learning where computational resources are limited. Various alternatives to BP including random feedback alignment forward-forward and lo... |
Matsubara_A_Multi-Task_Supervised_Compression_Model_for_Split_Computing_WACV_2025_paper | A Multi-Task Supervised Compression Model for Split Computing | [
"Yoshitomo Matsubara",
"Matteo Mendula",
"Marco Levorato"
] | https://openaccess.thecvf.com/content/WACV2025/html/Matsubara_A_Multi-Task_Supervised_Compression_Model_for_Split_Computing_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Matsubara_A_Multi-Task_Supervised_Compression_Model_for_Split_Computing_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Matsubara_A_Multi-Task_Supervised_WACV_2025_supplemental.pdf | 2501.01420 | cvf | @InProceedings{Matsubara_2025_WACV,
author = {Matsubara, Yoshitomo and Mendula, Matteo and Levorato, Marco},
title = {A Multi-Task Supervised Compression Model for Split Computing},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February... | Split computing ( split learning) is a promising approach to deep learning models for resource-constrained edge computing systems where weak sensor (mobile) devices are wirelessly connected to stronger edge servers through channels with limited communication capacity. State-of-the-art work on split computing presents m... |
Zheng_Advancing_Chart_Question_Answering_with_Robust_Chart_Component_Recognition_WACV_2025_paper | Advancing Chart Question Answering with Robust Chart Component Recognition | [
"Hanwen Zheng",
"Sijia Wang",
"Chris Thomas",
"Lifu Huang"
] | https://openaccess.thecvf.com/content/WACV2025/html/Zheng_Advancing_Chart_Question_Answering_with_Robust_Chart_Component_Recognition_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Zheng_Advancing_Chart_Question_Answering_with_Robust_Chart_Component_Recognition_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Zheng_Advancing_Chart_Question_WACV_2025_supplemental.pdf | 2407.21038 | cvf | @InProceedings{Zheng_2025_WACV,
author = {Zheng, Hanwen and Wang, Sijia and Thomas, Chris and Huang, Lifu},
title = {Advancing Chart Question Answering with Robust Chart Component Recognition},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month ... | Chart comprehension presents significant challenges for machine learning models due to the diverse and intricate shapes of charts. Existing multimodal methods often overlook these visual features or fail to integrate them effectively for Chart Question Answering. To address this we introduce ChartFormer a unified frame... |
Ma_Towards_Accurate_Unified_Anomaly_Segmentation_WACV_2025_paper | Towards Accurate Unified Anomaly Segmentation | [
"Wenxin Ma",
"Qingsong Yao",
"Xiang Zhang",
"Zhelong Huang",
"Zihang Jiang",
"S.Kevin Zhou"
] | https://openaccess.thecvf.com/content/WACV2025/html/Ma_Towards_Accurate_Unified_Anomaly_Segmentation_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Ma_Towards_Accurate_Unified_Anomaly_Segmentation_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Ma_Towards_Accurate_Unified_WACV_2025_supplemental.pdf | 2501.12295 | cvf | @InProceedings{Ma_2025_WACV,
author = {Ma, Wenxin and Yao, Qingsong and Zhang, Xiang and Huang, Zhelong and Jiang, Zihang and Zhou, S.Kevin},
title = {Towards Accurate Unified Anomaly Segmentation},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
mont... | Unsupervised anomaly detection (UAD) from images strives to model normal data distributions creating discriminative representations to distinguish and precisely localize anomalies. Despite recent advancements in the efficient and unified one-for-all scheme challenges persist in accurately segmenting anomalies for furth... |
Ahmad_TRUST_Time-Domain_Residual_Unsupervised_Stability_Technique_for_Improved_Heart_Rate_WACV_2025_paper | TRUST: Time-Domain Residual Unsupervised Stability Technique for Improved Heart Rate Estimation | [
"Shahzad Ahmad",
"Sania Bano",
"Sukalpa Chanda",
"Santosh Kumar Vipparthi",
"Subrahmanyam Murala"
] | https://openaccess.thecvf.com/content/WACV2025/html/Ahmad_TRUST_Time-Domain_Residual_Unsupervised_Stability_Technique_for_Improved_Heart_Rate_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Ahmad_TRUST_Time-Domain_Residual_Unsupervised_Stability_Technique_for_Improved_Heart_Rate_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Ahmad_TRUST_Time-Domain_Residual_WACV_2025_supplemental.pdf | null | null | @InProceedings{Ahmad_2025_WACV,
author = {Ahmad, Shahzad and Bano, Sania and Chanda, Sukalpa and Vipparthi, Santosh Kumar and Murala, Subrahmanyam},
title = {TRUST: Time-Domain Residual Unsupervised Stability Technique for Improved Heart Rate Estimation},
booktitle = {Proceedings of the Winter Confer... | Camera-based estimation of vital signs is a promising method for non-contact health monitoring which analyzes minute changes in video data. However the creation of accurate models for this task is challenging due to the scarcity of datasets that possess synchronized vital sign recordings. Our research enhances an exist... |
Sick_Attention-Guided_Masked_Autoencoders_for_Learning_Image_Representations_WACV_2025_paper | Attention-Guided Masked Autoencoders for Learning Image Representations | [
"Leon Sick",
"Dominik Engel",
"Pedro Hermosilla",
"Timo Ropinski"
] | https://openaccess.thecvf.com/content/WACV2025/html/Sick_Attention-Guided_Masked_Autoencoders_for_Learning_Image_Representations_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Sick_Attention-Guided_Masked_Autoencoders_for_Learning_Image_Representations_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Sick_Attention-Guided_Masked_Autoencoders_WACV_2025_supplemental.pdf | 2402.15172 | cvf | @InProceedings{Sick_2025_WACV,
author = {Sick, Leon and Engel, Dominik and Hermosilla, Pedro and Ropinski, Timo},
title = {Attention-Guided Masked Autoencoders for Learning Image Representations},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month ... | Masked autoencoders (MAEs) have established themselves as a powerful pre-training method for computer vision tasks. While vanilla MAEs put equal emphasis on reconstructing the individual parts of the image we propose to inform the reconstruction process through an attention-guided loss function. By leveraging advances ... |
Zhang_Enhancing_Vision-Language_Few-Shot_Adaptation_with_Negative_Learning_WACV_2025_paper | Enhancing Vision-Language Few-Shot Adaptation with Negative Learning | [
"Ce Zhang",
"Simon Stepputtis",
"Katia Sycara",
"Yaqi Xie"
] | https://openaccess.thecvf.com/content/WACV2025/html/Zhang_Enhancing_Vision-Language_Few-Shot_Adaptation_with_Negative_Learning_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Zhang_Enhancing_Vision-Language_Few-Shot_Adaptation_with_Negative_Learning_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Zhang_Enhancing_Vision-Language_Few-Shot_WACV_2025_supplemental.pdf | 2403.12964 | cvf | @InProceedings{Zhang_2025_WACV,
author = {Zhang, Ce and Stepputtis, Simon and Sycara, Katia and Xie, Yaqi},
title = {Enhancing Vision-Language Few-Shot Adaptation with Negative Learning},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {Fe... | Large-scale pre-trained Vision-Language Models (VLMs) have exhibited impressive zero-shot performance and transferability allowing them to adapt to downstream tasks in a data-efficient manner. However when only a few labeled samples are available adapting VLMs to distinguish subtle differences between similar classes i... |
Feng_MVAD_A_Multiple_Visual_Artifact_Detector_for_Video_Streaming_WACV_2025_paper | MVAD: A Multiple Visual Artifact Detector for Video Streaming | [
"Chen Feng",
"Duolikun Danier",
"Fan Zhang",
"Alex Mackin",
"Andrew Collins",
"David Bull"
] | https://openaccess.thecvf.com/content/WACV2025/html/Feng_MVAD_A_Multiple_Visual_Artifact_Detector_for_Video_Streaming_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Feng_MVAD_A_Multiple_Visual_Artifact_Detector_for_Video_Streaming_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Feng_MVAD_A_Multiple_WACV_2025_supplemental.pdf | 2406.00212 | cvf | @InProceedings{Feng_2025_WACV,
author = {Feng, Chen and Danier, Duolikun and Zhang, Fan and Mackin, Alex and Collins, Andrew and Bull, David},
title = {MVAD: A Multiple Visual Artifact Detector for Video Streaming},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision ... | Visual artifacts are often introduced into streamed video content due to prevailing conditions during content production and delivery. Since these can degrade the quality of the user's experience it is important to automatically and accurately detect them in order to enable effective quality measurement and enhancement... |
Ruan_Physiology-Aware_PolySnake_for_Coronary_Vessel_Segmentation_WACV_2025_paper | Physiology-Aware PolySnake for Coronary Vessel Segmentation | [
"Yizhe Ruan",
"Lin Gu",
"Yusuke Kurose",
"Junichi Iho",
"Youji Tokunaga",
"Makoto Horie",
"Yusaku Hayashi",
"Keisuke Nishizawa",
"Yasushi Koyama",
"Tatsuya Harada"
] | https://openaccess.thecvf.com/content/WACV2025/html/Ruan_Physiology-Aware_PolySnake_for_Coronary_Vessel_Segmentation_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Ruan_Physiology-Aware_PolySnake_for_Coronary_Vessel_Segmentation_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Ruan_Physiology-Aware_PolySnake_for_WACV_2025_supplemental.pdf | null | null | @InProceedings{Ruan_2025_WACV,
author = {Ruan, Yizhe and Gu, Lin and Kurose, Yusuke and Iho, Junichi and Tokunaga, Youji and Horie, Makoto and Hayashi, Yusaku and Nishizawa, Keisuke and Koyama, Yasushi and Harada, Tatsuya},
title = {Physiology-Aware PolySnake for Coronary Vessel Segmentation},
bookti... | Coronary artery disease (CAD) is a significant health risk that requires early detection for effective treatment. While recent advances in deep learning have shown promise in automating CAD detection from coronary computed tomography angiography (CCTA) images the accurate segmentation of coronary vessels remains a chal... |
Sun_MOOSS_Mask-Enhanced_Temporal_Contrastive_Learning_for_Smooth_State_Evolution_in_WACV_2025_paper | MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning | [
"Jiarui Sun",
"M. Ugur Akcal",
"Girish Chowdhary",
"Wei Zhang"
] | https://openaccess.thecvf.com/content/WACV2025/html/Sun_MOOSS_Mask-Enhanced_Temporal_Contrastive_Learning_for_Smooth_State_Evolution_in_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Sun_MOOSS_Mask-Enhanced_Temporal_Contrastive_Learning_for_Smooth_State_Evolution_in_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Sun_MOOSS_Mask-Enhanced_Temporal_WACV_2025_supplemental.pdf | 2409.02714 | cvf | @InProceedings{Sun_2025_WACV,
author = {Sun, Jiarui and Akcal, M. Ugur and Chowdhary, Girish and Zhang, Wei},
title = {MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning},
booktitle = {Proceedings of the Winter Conference on Applications of ... | In visual Reinforcement Learning (RL) learning from pixel-based observations poses significant challenges on sample efficiency primarily due to the complexity of extracting informative state representations from high-dimensional data. Previous methods such as contrastive-based approaches have made strides in improving ... |
Hermary_Removing_Geometric_Bias_in_One-Class_Anomaly_Detection_with_Adaptive_Feature_WACV_2025_paper | Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation | [
"Romain Hermary",
"Vincent Gaudilliere",
"Abd El Rahman Shabayek",
"Djamila Aouada"
] | https://openaccess.thecvf.com/content/WACV2025/html/Hermary_Removing_Geometric_Bias_in_One-Class_Anomaly_Detection_with_Adaptive_Feature_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Hermary_Removing_Geometric_Bias_in_One-Class_Anomaly_Detection_with_Adaptive_Feature_WACV_2025_paper.pdf | null | 2503.05520 | title_snapshot | @InProceedings{Hermary_2025_WACV,
author = {Hermary, Romain and Gaudilliere, Vincent and El Rahman Shabayek, Abd and Aouada, Djamila},
title = {Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation},
booktitle = {Proceedings of the Winter Conference on Applications... | One-class anomaly detection aims to detect objects that do not belong to a predefined normal class. In practice training data lack those anomalous samples; hence state-of-the-art methods are trained to discriminate between normal and synthetically-generated pseudo-anomalous data. Most methods use data augmentation tech... |
Xu_CryoMAE_Few-Shot_Cryo-EM_Particle_Picking_with_Masked_Autoencoders_WACV_2025_paper | CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders | [
"Chentianye Xu",
"Xueying Zhan",
"Min Xu"
] | https://openaccess.thecvf.com/content/WACV2025/html/Xu_CryoMAE_Few-Shot_Cryo-EM_Particle_Picking_with_Masked_Autoencoders_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Xu_CryoMAE_Few-Shot_Cryo-EM_Particle_Picking_with_Masked_Autoencoders_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Xu_CryoMAE_Few-Shot_Cryo-EM_WACV_2025_supplemental.pdf | 2404.10178 | cvf | @InProceedings{Xu_2025_WACV,
author = {Xu, Chentianye and Zhan, Xueying and Xu, Min},
title = {CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February},
year ... | Cryo-electron microscopy (cryo-EM) emerges as a pivotal technology for determining the architecture of cells viruses and protein assemblies at near-atomic resolution. Traditional particle picking a key step in cryo-EM struggles with manual effort and automated methods' sensitivity to low signal-to-noise ratio (SNR) and... |
Magera_BroadTrack_Broadcast_Camera_Tracking_for_Soccer_WACV_2025_paper | BroadTrack: Broadcast Camera Tracking for Soccer | [
"Floriane Magera",
"Thomas Hoyoux",
"Olivier Barnich",
"Marc Van Droogenbroeck"
] | https://openaccess.thecvf.com/content/WACV2025/html/Magera_BroadTrack_Broadcast_Camera_Tracking_for_Soccer_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Magera_BroadTrack_Broadcast_Camera_Tracking_for_Soccer_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Magera_BroadTrack_Broadcast_Camera_WACV_2025_supplemental.zip | 2412.01721 | cvf | @InProceedings{Magera_2025_WACV,
author = {Magera, Floriane and Hoyoux, Thomas and Barnich, Olivier and Van Droogenbroeck, Marc},
title = {BroadTrack: Broadcast Camera Tracking for Soccer},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {... | Camera calibration and localization sometimes simply named camera calibration enables many applications in the context of soccer broadcasting for instance regarding the interpretation and analysis of the game or the insertion of augmented reality graphics for storytelling or refereeing purposes. To contribute to such a... |
Miyake_Negative-Prompt_Inversion_Fast_Image_Inversion_for_Editing_with_Text-Guided_Diffusion_WACV_2025_paper | Negative-Prompt Inversion: Fast Image Inversion for Editing with Text-Guided Diffusion Models | [
"Daiki Miyake",
"Akihiro Iohara",
"Yu Saito",
"Toshiyuki Tanaka"
] | https://openaccess.thecvf.com/content/WACV2025/html/Miyake_Negative-Prompt_Inversion_Fast_Image_Inversion_for_Editing_with_Text-Guided_Diffusion_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Miyake_Negative-Prompt_Inversion_Fast_Image_Inversion_for_Editing_with_Text-Guided_Diffusion_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Miyake_Negative-Prompt_Inversion_Fast_WACV_2025_supplemental.zip | 2305.16807 | cvf | @InProceedings{Miyake_2025_WACV,
author = {Miyake, Daiki and Iohara, Akihiro and Saito, Yu and Tanaka, Toshiyuki},
title = {Negative-Prompt Inversion: Fast Image Inversion for Editing with Text-Guided Diffusion Models},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vis... | In image editing employing diffusion models it is crucial to preserve the reconstruction fidelity to the original image while changing its style. Although existing methods ensure reconstruction fidelity through optimization a drawback of these is the significant amount of time required for optimization. In this paper w... |
Kumaravelu_EvoCL_Continual_Learning_over_Evolving_Domains_WACV_2025_paper | EvoCL: Continual Learning over Evolving Domains | [
"Vishnuprasadh Kumaravelu",
"P.K. Srijith",
"Sunil Gupta"
] | https://openaccess.thecvf.com/content/WACV2025/html/Kumaravelu_EvoCL_Continual_Learning_over_Evolving_Domains_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Kumaravelu_EvoCL_Continual_Learning_over_Evolving_Domains_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Kumaravelu_EvoCL_Continual_Learning_WACV_2025_supplemental.pdf | null | null | @InProceedings{Kumaravelu_2025_WACV,
author = {Kumaravelu, Vishnuprasadh and Srijith, P.K. and Gupta, Sunil},
title = {EvoCL: Continual Learning over Evolving Domains},
booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
month = {February},
year ... | Continual Learning aspires to build models capable of learning new tasks without forgetting previously learnt tasks. In real-world settings the distributions underlying the tasks are prone to shift. This necessitates a model capable of observing how the task distributions drift with time and adapt proactively. We prese... |
Chen_Adaptive_and_Temporally_Consistent_Gaussian_Surfels_for_Multi-View_Dynamic_Reconstruction_WACV_2025_paper | Adaptive and Temporally Consistent Gaussian Surfels for Multi-View Dynamic Reconstruction | [
"Decai Chen",
"Brianne Oberson",
"Ingo Feldmann",
"Oliver Schreer",
"Anna Hilsmann",
"Peter Eisert"
] | https://openaccess.thecvf.com/content/WACV2025/html/Chen_Adaptive_and_Temporally_Consistent_Gaussian_Surfels_for_Multi-View_Dynamic_Reconstruction_WACV_2025_paper.html | https://openaccess.thecvf.com/content/WACV2025/papers/Chen_Adaptive_and_Temporally_Consistent_Gaussian_Surfels_for_Multi-View_Dynamic_Reconstruction_WACV_2025_paper.pdf | https://openaccess.thecvf.com/content/WACV2025/supplemental/Chen_Adaptive_and_Temporally_WACV_2025_supplemental.pdf | 2411.06602 | cvf | @InProceedings{Chen_2025_WACV,
author = {Chen, Decai and Oberson, Brianne and Feldmann, Ingo and Schreer, Oliver and Hilsmann, Anna and Eisert, Peter},
title = {Adaptive and Temporally Consistent Gaussian Surfels for Multi-View Dynamic Reconstruction},
booktitle = {Proceedings of the Winter Conferenc... | 3D Gaussian Splatting has recently achieved notable success in novel view synthesis for dynamic scenes and geometry reconstruction in static scenes. Building on these advancements early methods have been developed for dynamic surface reconstruction by globally optimizing entire sequences. However reconstructing dynamic... |
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