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 44 135 | title stringlengths 23 153 | authors listlengths 1 17 | cvf_url stringlengths 101 192 | pdf_url stringlengths 102 193 | supp_url stringlengths 101 142 ⌀ | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 3
values | bibtex large_stringlengths 323 691 | abstract large_stringlengths 590 2.13k |
|---|---|---|---|---|---|---|---|---|---|
Han_ATM_Enhanced_Alignment_for_Text-to-Motion_Generation_WACV_2026_paper | ATM: Enhanced Alignment for Text-to-Motion Generation | [
"Ke Han",
"Yueming Lyu",
"Weichen Yu",
"Nicu Sebe"
] | https://openaccess.thecvf.com/content/WACV2026/html/Han_ATM_Enhanced_Alignment_for_Text-to-Motion_Generation_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Han_ATM_Enhanced_Alignment_for_Text-to-Motion_Generation_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Han_ATM_Enhanced_Alignment_WACV_2026_supplemental.pdf | null | null | @InProceedings{Han_2026_WACV,
author = {Han, Ke and Lyu, Yueming and Yu, Weichen and Sebe, Nicu},
title = {ATM: Enhanced Alignment for Text-to-Motion Generation},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March},
year ... | Existing text-to-motion (T2M) generation methods primarily rely on regression-based objectives, such as minimizing positional errors. However, they lack effective semantic supervision and correction mechanisms, often leading to substantial misalignment between text and motion. To address this, we propose Aligned Text-t... |
Vu_Contrastive_Integrated_Gradients_A_Feature_Attribution-Based_Method_for_Explaining_Whole_WACV_2026_paper | Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification | [
"Anh Mai Vu",
"Tuan L. Vo",
"Ngoc Lam Quang Bui",
"Nam N. B. Le",
"Akash Awasthi",
"Huy Q. Vo",
"Thanh-Huy Nguyen",
"Zhu Han",
"Chandra Mohan",
"Hien Van Nguyen"
] | https://openaccess.thecvf.com/content/WACV2026/html/Vu_Contrastive_Integrated_Gradients_A_Feature_Attribution-Based_Method_for_Explaining_Whole_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Vu_Contrastive_Integrated_Gradients_A_Feature_Attribution-Based_Method_for_Explaining_Whole_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Vu_Contrastive_Integrated_Gradients_WACV_2026_supplemental.pdf | 2511.08464 | cvf | @InProceedings{Vu_2026_WACV,
author = {Vu, Anh Mai and Vo, Tuan L. and Bui, Ngoc Lam Quang and Le, Nam N. B. and Awasthi, Akash and Vo, Huy Q. and Nguyen, Thanh-Huy and Han, Zhu and Mohan, Chandra and Van Nguyen, Hien},
title = {Contrastive Integrated Gradients: A Feature Attribution-Based Method for Exp... | Interpretability is essential in Whole Slide Image (WSI) analysis for computational pathology, where understanding model predictions helps build trust in AI-assisted diagnostics. While Integrated Gradients (IG) and related attribution methods have shown promise, applying them directly to WSIs introduces challenges due ... |
Kaushik_Forget_Less_by_Learning_Together_through_Concept_Consolidation_WACV_2026_paper | Forget Less by Learning Together through Concept Consolidation | [
"Arjun Ramesh Kaushik",
"Naresh Kumar Devulapally",
"Vishnu Suresh Lokhande",
"Nalini Ratha",
"Venu Govindaraju"
] | https://openaccess.thecvf.com/content/WACV2026/html/Kaushik_Forget_Less_by_Learning_Together_through_Concept_Consolidation_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Kaushik_Forget_Less_by_Learning_Together_through_Concept_Consolidation_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Kaushik_Forget_Less_by_WACV_2026_supplemental.pdf | 2601.01963 | cvf | @InProceedings{Kaushik_2026_WACV,
author = {Kaushik, Arjun Ramesh and Devulapally, Naresh Kumar and Lokhande, Vishnu Suresh and Ratha, Nalini and Govindaraju, Venu},
title = {Forget Less by Learning Together through Concept Consolidation},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on... | Custom Diffusion Models (CDMs) have gained significant attention due to their remarkable ability to personalize generative processes. However, existing CDMs suffer from catastrophic forgetting when continuously learning new concepts. Most prior works attempt to mitigate this issue under the sequential learning setting ... |
Dhakal_GFT_Graph_Feature_Tuning_for_Efficient_Point_Cloud_Analysis_WACV_2026_paper | GFT: Graph Feature Tuning for Efficient Point Cloud Analysis | [
"Manish Dhakal",
"Venkat R Dasari",
"Rajshekhar Sunderraman",
"Yi Ding"
] | https://openaccess.thecvf.com/content/WACV2026/html/Dhakal_GFT_Graph_Feature_Tuning_for_Efficient_Point_Cloud_Analysis_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Dhakal_GFT_Graph_Feature_Tuning_for_Efficient_Point_Cloud_Analysis_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Dhakal_GFT_Graph_Feature_WACV_2026_supplemental.pdf | 2511.10799 | cvf | @InProceedings{Dhakal_2026_WACV,
author = {Dhakal, Manish and Dasari, Venkat R and Sunderraman, Rajshekhar and Ding, Yi},
title = {GFT: Graph Feature Tuning for Efficient Point Cloud Analysis},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
... | Parameter-efficient fine-tuning (PEFT) significantly reduces computational and memory costs by updating only a small subset of the model's parameters, enabling faster adaptation to new tasks with minimal loss in performance. Previous studies have introduced PEFTs tailored for point cloud data, as general approaches are... |
Shi_Scalpel_Fine-Grained_Alignment_of_Attention_Activation_Manifolds_via_Mixture_Gaussian_WACV_2026_paper | Scalpel: Fine-Grained Alignment of Attention Activation Manifolds via Mixture Gaussian Bridges to Mitigate Multimodal Hallucination | [
"Ziqiang Shi",
"Rujie Liu",
"Shanshan Yu",
"Satoshi Munakata",
"Koichi Shirahata"
] | https://openaccess.thecvf.com/content/WACV2026/html/Shi_Scalpel_Fine-Grained_Alignment_of_Attention_Activation_Manifolds_via_Mixture_Gaussian_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Shi_Scalpel_Fine-Grained_Alignment_of_Attention_Activation_Manifolds_via_Mixture_Gaussian_WACV_2026_paper.pdf | null | 2602.09541 | cvf | @InProceedings{Shi_2026_WACV,
author = {Shi, Ziqiang and Liu, Rujie and Yu, Shanshan and Munakata, Satoshi and Shirahata, Koichi},
title = {Scalpel: Fine-Grained Alignment of Attention Activation Manifolds via Mixture Gaussian Bridges to Mitigate Multimodal Hallucination},
booktitle = {Proceedings of... | Rapid progress in large vision-language models(LVLMs) has achieved unprecedented performance in vision-language tasks. However, due to the strong prior of large language models (LLMs) and misaligned attention across modalities, LVLMs often generate outputs inconsistent with visual content - termed hallucination. To add... |
Tokoro_MMCM_Multimodality-aware_Metric_using_Clustering-based_Modes_for_Probabilistic_Human_Motion_WACV_2026_paper | MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction | [
"Kyotaro Tokoro",
"Hiromu Taketsugu",
"Norimichi Ukita"
] | https://openaccess.thecvf.com/content/WACV2026/html/Tokoro_MMCM_Multimodality-aware_Metric_using_Clustering-based_Modes_for_Probabilistic_Human_Motion_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Tokoro_MMCM_Multimodality-aware_Metric_using_Clustering-based_Modes_for_Probabilistic_Human_Motion_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Tokoro_MMCM_Multimodality-aware_Metric_WACV_2026_supplemental.pdf | 2511.15179 | cvf | @InProceedings{Tokoro_2026_WACV,
author = {Tokoro, Kyotaro and Taketsugu, Hiromu and Ukita, Norimichi},
title = {MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Comp... | This paper proposes a novel metric for Human Motion Prediction (HMP). Since a single past sequence can lead to multiple possible futures, a probabilistic HMP method predicts such multiple motions. While a single motion predicted by a deterministic method is evaluated only with the difference from its ground truth motio... |
Vishwakarma_ScoliGaitX_A_Deep_Multi-Modal_Fusion_Network_for_Scoliosis_Assessment_via_WACV_2026_paper | ScoliGaitX: A Deep Multi-Modal Fusion Network for Scoliosis Assessment via Gait Video Analysis | [
"Kaushik Vishwakarma",
"Aditya Nigam"
] | https://openaccess.thecvf.com/content/WACV2026/html/Vishwakarma_ScoliGaitX_A_Deep_Multi-Modal_Fusion_Network_for_Scoliosis_Assessment_via_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Vishwakarma_ScoliGaitX_A_Deep_Multi-Modal_Fusion_Network_for_Scoliosis_Assessment_via_WACV_2026_paper.pdf | null | null | null | @InProceedings{Vishwakarma_2026_WACV,
author = {Vishwakarma, Kaushik and Nigam, Aditya},
title = {ScoliGaitX: A Deep Multi-Modal Fusion Network for Scoliosis Assessment via Gait Video Analysis},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
... | Scoliosis presents significant diagnostic challenges, especially in its early stages due to structural deformities of the spine. The most common type, Adolescent Idiopathic Scoliosis (AIS), typically appears during rapid growth periods between ages 10 and 15, accounting for about 80-85% of all scoliosis cases. Currentl... |
Prabhune_OpenCowID_Zero-Shot_Visual_Identification_of_Dairy_Cows_WACV_2026_paper | OpenCowID: Zero-Shot Visual Identification of Dairy Cows | [
"Omkar Prabhune",
"Younghyun Kim"
] | https://openaccess.thecvf.com/content/WACV2026/html/Prabhune_OpenCowID_Zero-Shot_Visual_Identification_of_Dairy_Cows_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Prabhune_OpenCowID_Zero-Shot_Visual_Identification_of_Dairy_Cows_WACV_2026_paper.pdf | null | null | null | @InProceedings{Prabhune_2026_WACV,
author = {Prabhune, Omkar and Kim, Younghyun},
title = {OpenCowID: Zero-Shot Visual Identification of Dairy Cows},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March},
year = {2026},... | Accurate identification of individual cows is essential to precision dairy farming. While computer vision offers a non-invasive alternative to ear tags and RFID systems, its practical deployment remains limited by the need for zero-shot identification in dynamic herds where test identities are unseen during training. I... |
Saporita_FG-TRACER_Tracing_Information_Flow_in_Multimodal_Large_Language_Models_in_WACV_2026_paper | FG-TRACER: Tracing Information Flow in Multimodal Large Language Models in Free-Form Generation | [
"Alessia Saporita",
"Vittorio Pipoli",
"Federico Bolelli",
"Lorenzo Baraldi",
"Andrea Acquaviva",
"Elisa Ficarra"
] | https://openaccess.thecvf.com/content/WACV2026/html/Saporita_FG-TRACER_Tracing_Information_Flow_in_Multimodal_Large_Language_Models_in_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Saporita_FG-TRACER_Tracing_Information_Flow_in_Multimodal_Large_Language_Models_in_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Saporita_FG-TRACER_Tracing_Information_WACV_2026_supplemental.pdf | null | null | @InProceedings{Saporita_2026_WACV,
author = {Saporita, Alessia and Pipoli, Vittorio and Bolelli, Federico and Baraldi, Lorenzo and Acquaviva, Andrea and Ficarra, Elisa},
title = {FG-TRACER: Tracing Information Flow in Multimodal Large Language Models in Free-Form Generation},
booktitle = {Proceedings... | Multimodal Large Language Models (MLLMs) have achieved impressive performance across a variety of vision-language tasks. However, their internal working mechanisms remain largely underexplored. In his work, we introduce FG-TRACER, a framework designed to analyze the information flow between visual and textual modalitie... |
Islam_SpikeRain_Towards_Energy-Efficient_Single_Image_Deraining_with_Spiking_Neural_Networks_WACV_2026_paper | SpikeRain: Towards Energy-Efficient Single Image Deraining with Spiking Neural Networks | [
"Md Tanvir Islam",
"Inzamamul Alam",
"Sambit Bakshi",
"Khan Muhammad",
"Javier Del Ser",
"Sangtae Ahn"
] | https://openaccess.thecvf.com/content/WACV2026/html/Islam_SpikeRain_Towards_Energy-Efficient_Single_Image_Deraining_with_Spiking_Neural_Networks_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Islam_SpikeRain_Towards_Energy-Efficient_Single_Image_Deraining_with_Spiking_Neural_Networks_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Islam_SpikeRain_Towards_Energy-Efficient_WACV_2026_supplemental.pdf | null | null | @InProceedings{Islam_2026_WACV,
author = {Islam, Md Tanvir and Alam, Inzamamul and Bakshi, Sambit and Muhammad, Khan and Del Ser, Javier and Ahn, Sangtae},
title = {SpikeRain: Towards Energy-Efficient Single Image Deraining with Spiking Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Winte... | With the rapid deployment of vision systems on edge devices, energy-efficient and temporally aware image deraining models are increasingly needed. We propose SpikeRain, a spiking neural network (SNN) that achieves competitive deraining performance with substantially lower computational cost than conventional artificial... |
Bai_CAST_Evaluating_Multi-Object_Trackers_with_Context-Aware_Switch_and_Transfer_Scores_WACV_2026_paper | CAST: Evaluating Multi-Object Trackers with Context-Aware Switch and Transfer Scores | [
"Jin Bai",
"Gregory D. Hager"
] | https://openaccess.thecvf.com/content/WACV2026/html/Bai_CAST_Evaluating_Multi-Object_Trackers_with_Context-Aware_Switch_and_Transfer_Scores_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Bai_CAST_Evaluating_Multi-Object_Trackers_with_Context-Aware_Switch_and_Transfer_Scores_WACV_2026_paper.pdf | null | null | null | @InProceedings{Bai_2026_WACV,
author = {Bai, Jin and Hager, Gregory D.},
title = {CAST: Evaluating Multi-Object Trackers with Context-Aware Switch and Transfer Scores},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March},
... | Multi-object tracking (MOT) has been a subject of intensive research for decades. Multiple standard datasets and benchmarks have been set up, and several evaluation metrics, such as MOTA, IDF1 and HOTA. These metrics have become the de facto standard for comparing and ranking trackers on standardized datasets to measur... |
Monninger_NavMapFusion_Diffusion-based_Fusion_of_Navigation_Maps_for_Online_Vectorized_HD_WACV_2026_paper | NavMapFusion: Diffusion-based Fusion of Navigation Maps for Online Vectorized HD Map Construction | [
"Thomas Monninger",
"Zihan Zhang",
"Steffen Staab",
"Sihao Ding"
] | https://openaccess.thecvf.com/content/WACV2026/html/Monninger_NavMapFusion_Diffusion-based_Fusion_of_Navigation_Maps_for_Online_Vectorized_HD_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Monninger_NavMapFusion_Diffusion-based_Fusion_of_Navigation_Maps_for_Online_Vectorized_HD_WACV_2026_paper.pdf | null | 2512.03317 | cvf | @InProceedings{Monninger_2026_WACV,
author = {Monninger, Thomas and Zhang, Zihan and Staab, Steffen and Ding, Sihao},
title = {NavMapFusion: Diffusion-based Fusion of Navigation Maps for Online Vectorized HD Map Construction},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications... | Accurate environmental representations are essential for autonomous driving, providing the foundation for safe and efficient navigation. Traditionally, high-definition (HD) maps are providing this representation of the static road infrastructure to the autonomous system a priori. However, because the real world is cons... |
Chee_DREAM_Dynamic_Prompts_and_GuidedMix_for_Efficient_Continual_Adaptation_of_WACV_2026_paper | DREAM: Dynamic Prompts and GuidedMix for Efficient Continual Adaptation of Visual-Language Models | [
"Evelyn Chee",
"Mong Li Lee",
"Wynne Hsu"
] | https://openaccess.thecvf.com/content/WACV2026/html/Chee_DREAM_Dynamic_Prompts_and_GuidedMix_for_Efficient_Continual_Adaptation_of_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Chee_DREAM_Dynamic_Prompts_and_GuidedMix_for_Efficient_Continual_Adaptation_of_WACV_2026_paper.pdf | null | null | null | @InProceedings{Chee_2026_WACV,
author = {Chee, Evelyn and Lee, Mong Li and Hsu, Wynne},
title = {DREAM: Dynamic Prompts and GuidedMix for Efficient Continual Adaptation of Visual-Language Models},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
... | Vision-language models (VLMs) exhibit impressive zero-shot transfer, but remain static and cannot adapt when exposed to new tasks. Meanwhile, conventional continual learning often overlooks preserving this zero-shot capability during adaptation. In this work, we present DREAM, a parameter-efficient framework that enabl... |
Yim_SynPlay_Large-Scale_Synthetic_Human_Data_with_Real-World_Diversity_for_Aerial-View_WACV_2026_paper | SynPlay: Large-Scale Synthetic Human Data with Real-World Diversity for Aerial-View Perception | [
"Jinsub Yim",
"Hyungtae Lee",
"Sungmin Eum",
"Yi-Ting Shen",
"Yan Zhang",
"Heesung Kwon",
"Shuvra S. Bhattacharyya"
] | https://openaccess.thecvf.com/content/WACV2026/html/Yim_SynPlay_Large-Scale_Synthetic_Human_Data_with_Real-World_Diversity_for_Aerial-View_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Yim_SynPlay_Large-Scale_Synthetic_Human_Data_with_Real-World_Diversity_for_Aerial-View_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Yim_SynPlay_Large-Scale_Synthetic_WACV_2026_supplemental.pdf | 2408.11814 | cvf | @InProceedings{Yim_2026_WACV,
author = {Yim, Jinsub and Lee, Hyungtae and Eum, Sungmin and Shen, Yi-Ting and Zhang, Yan and Kwon, Heesung and Bhattacharyya, Shuvra S.},
title = {SynPlay: Large-Scale Synthetic Human Data with Real-World Diversity for Aerial-View Perception},
booktitle = {Proceedings o... | We introduce SynPlay, a large-scale synthetic human dataset purpose-built for advancing multi-perspective human localization, with a predominant focus on aerial-view perception. SynPlay departs from traditional synthetic datasets by addressing a critical but underexplored challenge: localizing humans in aerial scenes w... |
Song_Overcoming_Small_Data_Limitations_in_Video-Based_Infant_Respiration_Estimation_WACV_2026_paper | Overcoming Small Data Limitations in Video-Based Infant Respiration Estimation | [
"Liyang Song",
"Hardik Bishnoi",
"Sai Kumar Reddy Manne",
"Sarah Ostadabbas",
"Briana J. Taylor",
"Michael Wan"
] | https://openaccess.thecvf.com/content/WACV2026/html/Song_Overcoming_Small_Data_Limitations_in_Video-Based_Infant_Respiration_Estimation_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Song_Overcoming_Small_Data_Limitations_in_Video-Based_Infant_Respiration_Estimation_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Song_Overcoming_Small_Data_WACV_2026_supplemental.pdf | 2512.06888 | cvf | @InProceedings{Song_2026_WACV,
author = {Song, Liyang and Bishnoi, Hardik and Manne, Sai Kumar Reddy and Ostadabbas, Sarah and Taylor, Briana J. and Wan, Michael},
title = {Overcoming Small Data Limitations in Video-Based Infant Respiration Estimation},
booktitle = {Proceedings of the IEEE/CVF Winter... | The development of contactless respiration monitoring for infants could enable advances in the early detection and treatment of breathing irregularities, which are associated with neurodevelopmental impairments and conditions like sudden infant death syndrome (SIDS). But while respiration estimation for adults is suppo... |
Ahmad_SIAM_Synchronous_Interaction_Attention_for_Human_Mesh_Recovery_WACV_2026_paper | SIAM: Synchronous Interaction Attention for Human Mesh Recovery | [
"Niaz Ahmad",
"Saif Ullah",
"Youngmoon Lee",
"Guanghui Wang"
] | https://openaccess.thecvf.com/content/WACV2026/html/Ahmad_SIAM_Synchronous_Interaction_Attention_for_Human_Mesh_Recovery_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Ahmad_SIAM_Synchronous_Interaction_Attention_for_Human_Mesh_Recovery_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Ahmad_SIAM_Synchronous_Interaction_WACV_2026_supplemental.zip | null | null | @InProceedings{Ahmad_2026_WACV,
author = {Ahmad, Niaz and Ullah, Saif and Lee, Youngmoon and Wang, Guanghui},
title = {SIAM: Synchronous Interaction Attention for Human Mesh Recovery},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month ... | Conventional 3D body-mesh reconstruction methods often use decoupling strategies that isolate individual features for separate representation and therefore lack relational cues among entities. In this paper, a novel Synchronous Interaction Attention Module (SIAM) for human-mesh recovery is proposed. The framework build... |
Lee_OW-Rep_Open_World_Object_Detection_with_Instance_Representation_Learning_WACV_2026_paper | OW-Rep: Open World Object Detection with Instance Representation Learning | [
"Sunoh Lee",
"Minsik Jeon",
"Jihong Min",
"Junwon Seo"
] | https://openaccess.thecvf.com/content/WACV2026/html/Lee_OW-Rep_Open_World_Object_Detection_with_Instance_Representation_Learning_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Lee_OW-Rep_Open_World_Object_Detection_with_Instance_Representation_Learning_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Lee_OW-Rep_Open_World_WACV_2026_supplemental.pdf | 2409.16073 | cvf | @InProceedings{Lee_2026_WACV,
author = {Lee, Sunoh and Jeon, Minsik and Min, Jihong and Seo, Junwon},
title = {OW-Rep: Open World Object Detection with Instance Representation Learning},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month ... | Open World Object Detection (OWOD) addresses realistic scenarios where unseen object classes emerge, enabling detectors trained on known classes to detect unknown objects and incrementally incorporate the knowledge they provide. While existing OWOD methods primarily focus on detecting unknown objects, they often overlo... |
Li_Training-free_Multi-view_4D_Human_Motion_Reconstruction_Virtual_Reality_System_WACV_2026_paper | Training-free Multi-view 4D Human Motion Reconstruction Virtual Reality System | [
"Yijie Li",
"Ce Zheng",
"Yijie He",
"Joel Julin",
"Ryosuke Ichikari",
"Satoki Ogiso",
"Satoshi Nakae",
"Akihiro Sato",
"Takeshi Kurata",
"Laszlo A. Jeni"
] | https://openaccess.thecvf.com/content/WACV2026/html/Li_Training-free_Multi-view_4D_Human_Motion_Reconstruction_Virtual_Reality_System_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Li_Training-free_Multi-view_4D_Human_Motion_Reconstruction_Virtual_Reality_System_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Li_Training-free_Multi-view_4D_WACV_2026_supplemental.zip | null | null | @InProceedings{Li_2026_WACV,
author = {Li, Yijie and Zheng, Ce and He, Yijie and Julin, Joel and Ichikari, Ryosuke and Ogiso, Satoki and Nakae, Satoshi and Sato, Akihiro and Kurata, Takeshi and Jeni, Laszlo A.},
title = {Training-free Multi-view 4D Human Motion Reconstruction Virtual Reality System},
... | Human mesh recovery offers substantial potential for detailed behavior analysis and understanding of complex human-environment interactions. In this paper, we propose a novel 4D Human Motion Reconstruction Virtual Reality System that integrates advanced 4D multi-view human mesh recovery and high-quality 3D environment ... |
Quetin_Beyond_the_Encoder_Joint_Encoder-Decoder_Contrastive_Pre-Training_Improves_Dense_Prediction_WACV_2026_paper | Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction | [
"Sébastien Quetin",
"Tapotosh Ghosh",
"Farhad Maleki"
] | https://openaccess.thecvf.com/content/WACV2026/html/Quetin_Beyond_the_Encoder_Joint_Encoder-Decoder_Contrastive_Pre-Training_Improves_Dense_Prediction_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Quetin_Beyond_the_Encoder_Joint_Encoder-Decoder_Contrastive_Pre-Training_Improves_Dense_Prediction_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Quetin_Beyond_the_Encoder_WACV_2026_supplemental.pdf | 2503.17526 | cvf | @InProceedings{Quetin_2026_WACV,
author = {Quetin, S\'ebastien and Ghosh, Tapotosh and Maleki, Farhad},
title = {Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision... | Contrastive learning methods in self-supervised settings have primarily focused on pre-training encoders, while decoders are typically introduced and trained separately for downstream dense prediction tasks. However, this conventional approach overlooks the potential benefits of jointly pre-training both encoder and de... |
Tran_Discrete_Facial_Encoding_A_Framework_for_Data-driven_Facial_Display_Discovery_WACV_2026_paper | Discrete Facial Encoding: A Framework for Data-driven Facial Display Discovery | [
"Minh Tran",
"Maksim Siniukov",
"Zhangyu Jin",
"Mohammad Soleymani"
] | https://openaccess.thecvf.com/content/WACV2026/html/Tran_Discrete_Facial_Encoding_A_Framework_for_Data-driven_Facial_Display_Discovery_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Tran_Discrete_Facial_Encoding_A_Framework_for_Data-driven_Facial_Display_Discovery_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Tran_Discrete_Facial_Encoding_WACV_2026_supplemental.pdf | 2510.01662 | cvf | @InProceedings{Tran_2026_WACV,
author = {Tran, Minh and Siniukov, Maksim and Jin, Zhangyu and Soleymani, Mohammad},
title = {Discrete Facial Encoding: A Framework for Data-driven Facial Display Discovery},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (... | Facial expression analysis is central to understanding human behavior, yet existing coding systems such as the Facial Action Coding System (FACS) are constrained by limited coverage and costly manual annotation. In this work, we introduce \method (DFE), an unsupervised, data-driven alternative of compact and interpreta... |
Xing_Zero-shot_Hierarchical_Plant_Segmentation_via_Foundation_Segmentation_Models_and_Text-to-image_WACV_2026_paper | Zero-shot Hierarchical Plant Segmentation via Foundation Segmentation Models and Text-to-image Attention | [
"Junhao Xing",
"Ryohei Miyakawa",
"Yang Yang",
"Xinpeng Liu",
"Risa Shinoda",
"Hiroaki Santo",
"Yosuke Toda",
"Fumio Okura"
] | https://openaccess.thecvf.com/content/WACV2026/html/Xing_Zero-shot_Hierarchical_Plant_Segmentation_via_Foundation_Segmentation_Models_and_Text-to-image_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Xing_Zero-shot_Hierarchical_Plant_Segmentation_via_Foundation_Segmentation_Models_and_Text-to-image_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Xing_Zero-shot_Hierarchical_Plant_WACV_2026_supplemental.pdf | 2509.09116 | cvf | @InProceedings{Xing_2026_WACV,
author = {Xing, Junhao and Miyakawa, Ryohei and Yang, Yang and Liu, Xinpeng and Shinoda, Risa and Santo, Hiroaki and Toda, Yosuke and Okura, Fumio},
title = {Zero-shot Hierarchical Plant Segmentation via Foundation Segmentation Models and Text-to-image Attention},
bookt... | Foundation segmentation models achieve reasonable leaf instance extraction from top-view crop images without training (i.e., zero-shot). However, segmenting entire plant individuals with each consisting of multiple overlapping leaves remains challenging. This problem is referred to as a hierarchical segmentation task, ... |
Zhang_Semi-supervised_Domain_Adaptation_via_Mutual_Alignment_through_Joint_Error_WACV_2026_paper | Semi-supervised Domain Adaptation via Mutual Alignment through Joint Error | [
"Dexuan Zhang",
"Thomas Westfechtel",
"Tatsuya Harada"
] | https://openaccess.thecvf.com/content/WACV2026/html/Zhang_Semi-supervised_Domain_Adaptation_via_Mutual_Alignment_through_Joint_Error_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Zhang_Semi-supervised_Domain_Adaptation_via_Mutual_Alignment_through_Joint_Error_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Zhang_Semi-supervised_Domain_Adaptation_WACV_2026_supplemental.pdf | null | null | @InProceedings{Zhang_2026_WACV,
author = {Zhang, Dexuan and Westfechtel, Thomas and Harada, Tatsuya},
title = {Semi-supervised Domain Adaptation via Mutual Alignment through Joint Error},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month ... | Most existing methods for unsupervised domain adaptation focus on learning domain-invariant representations. However, recent works have shown that the generalization on the target domain can fail due to the trade-off between marginal distribution alignment and joint error under a large domain shift. A few labeled targe... |
Suzuki_Distribution_Highlighted_Reference-based_Label_Distribution_Learning_for_Facial_Age_Estimation_WACV_2026_paper | Distribution Highlighted Reference-based Label Distribution Learning for Facial Age Estimation | [
"Satoshi Suzuki",
"Shin'ya Yamaguchi",
"Shoichiro Takeda",
"Takuhiro Kaneko",
"Shota Orihashi",
"Ryo Masumura"
] | https://openaccess.thecvf.com/content/WACV2026/html/Suzuki_Distribution_Highlighted_Reference-based_Label_Distribution_Learning_for_Facial_Age_Estimation_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Suzuki_Distribution_Highlighted_Reference-based_Label_Distribution_Learning_for_Facial_Age_Estimation_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Suzuki_Distribution_Highlighted_Reference-based_WACV_2026_supplemental.pdf | null | null | @InProceedings{Suzuki_2026_WACV,
author = {Suzuki, Satoshi and Yamaguchi, Shin'ya and Takeda, Shoichiro and Kaneko, Takuhiro and Orihashi, Shota and Masumura, Ryo},
title = {Distribution Highlighted Reference-based Label Distribution Learning for Facial Age Estimation},
booktitle = {Proceedings of th... | Estimating age from facial images is a fundamental task. In this task, age labels have ambiguity because faces of the same individual across similar ages are often difficult to distinguish. To model this ambiguity, label distribution learning (LDL) trains a deep neural network (DNN) using a label distribution, i.e., th... |
Da_Silva_Martins_VISTA_A_Vision_and_Intent-Aware_Social_Attention_Framework_for_Multi-Agent_WACV_2026_paper | VISTA: A Vision and Intent-Aware Social Attention Framework for Multi-Agent Trajectory Prediction | [
"Stephane Da Silva Martins",
"Emanuel Aldea",
"Sylvie Le Hégarat-Mascle"
] | https://openaccess.thecvf.com/content/WACV2026/html/Da_Silva_Martins_VISTA_A_Vision_and_Intent-Aware_Social_Attention_Framework_for_Multi-Agent_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Da_Silva_Martins_VISTA_A_Vision_and_Intent-Aware_Social_Attention_Framework_for_Multi-Agent_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Da_Silva_Martins_VISTA_A_Vision_WACV_2026_supplemental.pdf | 2511.10203 | title_snapshot | @InProceedings{Da_Silva_Martins_2026_WACV,
author = {Da Silva Martins, Stephane and Aldea, Emanuel and Le H\'egarat-Mascle, Sylvie},
title = {VISTA: A Vision and Intent-Aware Social Attention Framework for Multi-Agent Trajectory Prediction},
booktitle = {Proceedings of the IEEE/CVF Winter Conference ... | Multi-agent trajectory prediction is a key task in computer vision for autonomous systems, particularly in dense and socially interactive environments. Existing methods often struggle to jointly model goal-driven behavior and complex social dynamics, which leads to unrealistic predictions. In this paper, we introduce V... |
Mishra_IMKD_Intensity-Aware_Multi-Level_Knowledge_Distillation_for_Camera-Radar_Fusion_WACV_2026_paper | IMKD: Intensity-Aware Multi-Level Knowledge Distillation for Camera-Radar Fusion | [
"Shashank Mishra",
"Karan Patil",
"Didier Stricker",
"Jason Rambach"
] | https://openaccess.thecvf.com/content/WACV2026/html/Mishra_IMKD_Intensity-Aware_Multi-Level_Knowledge_Distillation_for_Camera-Radar_Fusion_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Mishra_IMKD_Intensity-Aware_Multi-Level_Knowledge_Distillation_for_Camera-Radar_Fusion_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Mishra_IMKD_Intensity-Aware_Multi-Level_WACV_2026_supplemental.pdf | 2512.15581 | cvf | @InProceedings{Mishra_2026_WACV,
author = {Mishra, Shashank and Patil, Karan and Stricker, Didier and Rambach, Jason},
title = {IMKD: Intensity-Aware Multi-Level Knowledge Distillation for Camera-Radar Fusion},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vis... | High-performance Radar-Camera 3D object detection can be achieved by leveraging knowledge distillation without using LiDAR at inference time. However, existing distillation methods typically transfer modality-specific features directly to each sensor, which can distort their unique characteristics and degrade their ind... |
Cheng_WWE-UIE_A_Wavelet__White_Balance_Efficient_Network_for_Underwater_WACV_2026_paper | WWE-UIE: A Wavelet & White Balance Efficient Network for Underwater Image Enhancement | [
"Ching-Heng Cheng",
"Jen-Wei Lee",
"Chia-Ming Lee",
"Chih-Chung Hsu"
] | https://openaccess.thecvf.com/content/WACV2026/html/Cheng_WWE-UIE_A_Wavelet__White_Balance_Efficient_Network_for_Underwater_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Cheng_WWE-UIE_A_Wavelet__White_Balance_Efficient_Network_for_Underwater_WACV_2026_paper.pdf | null | 2511.16321 | cvf | @InProceedings{Cheng_2026_WACV,
author = {Cheng, Ching-Heng and Lee, Jen-Wei and Lee, Chia-Ming and Hsu, Chih-Chung},
title = {WWE-UIE: A Wavelet \& White Balance Efficient Network for Underwater Image Enhancement},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Compute... | Underwater Image Enhancement (UIE) aims to restore visibility and correct color distortions caused by wavelength-dependent absorption and scattering. Recent hybrid approaches, which couple domain priors with modern deep neural architectures, have achieved strong performance but incur high computational cost, limiting t... |
Laria_Leveraging_Semantic_Attribute_Binding_for_Free-Lunch_Color_Control_in_Diffusion_WACV_2026_paper | Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models | [
"Héctor Laria",
"Alexandra Gomez-Villa",
"Jiang Qin",
"Muhammad Atif Butt",
"Bogdan Raducanu",
"Javier Vazquez-Corral",
"Joost van de Weijer",
"Kai Wang"
] | https://openaccess.thecvf.com/content/WACV2026/html/Laria_Leveraging_Semantic_Attribute_Binding_for_Free-Lunch_Color_Control_in_Diffusion_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Laria_Leveraging_Semantic_Attribute_Binding_for_Free-Lunch_Color_Control_in_Diffusion_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Laria_Leveraging_Semantic_Attribute_WACV_2026_supplemental.pdf | 2503.09864 | title_snapshot | @InProceedings{Laria_2026_WACV,
author = {Laria, H\'ector and Gomez-Villa, Alexandra and Qin, Jiang and Butt, Muhammad Atif and Raducanu, Bogdan and Vazquez-Corral, Javier and van de Weijer, Joost and Wang, Kai},
title = {Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Mod... | Recent advances in text-to-image (T2I) diffusion models have enabled remarkable control over various attributes, yet precise color specification remains a fundamental challenge. Existing approaches, such as ColorPeel, rely on model personalization, requiring additional optimization and limiting flexibility in specifyin... |
Park_ForestSplats_Deformable_Transient_Field_for_Gaussian_Splatting_in_the_Wild_WACV_2026_paper | ForestSplats: Deformable Transient Field for Gaussian Splatting in the Wild | [
"Wongi Park",
"Myeongseok Nam",
"Siwon Kim",
"Sangwoo Jo",
"Soomok Lee"
] | https://openaccess.thecvf.com/content/WACV2026/html/Park_ForestSplats_Deformable_Transient_Field_for_Gaussian_Splatting_in_the_Wild_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Park_ForestSplats_Deformable_Transient_Field_for_Gaussian_Splatting_in_the_Wild_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Park_ForestSplats_Deformable_Transient_WACV_2026_supplemental.zip | 2503.06179 | cvf | @InProceedings{Park_2026_WACV,
author = {Park, Wongi and Nam, Myeongseok and Kim, Siwon and Jo, Sangwoo and Lee, Soomok},
title = {ForestSplats: Deformable Transient Field for Gaussian Splatting in the Wild},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Visio... | Recently, 3D Gaussian Splatting (3D-GS) has emerged, showing real-time rendering speeds and high-quality results in static scenes. Although 3D-GS shows effectiveness in static scenes, their performance significantly degrades in real-world environments due to transient objects, lighting variations, and diverse levels of... |
Chen_3D_Cell_Oversegmentation_Correction_via_Geo-Wasserstein_Divergence_WACV_2026_paper | 3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence | [
"Peter Chen",
"Bryan Chang",
"Olivia A Creasey",
"Julie Beth Sneddon",
"Zev J Gartner",
"Yining Liu"
] | https://openaccess.thecvf.com/content/WACV2026/html/Chen_3D_Cell_Oversegmentation_Correction_via_Geo-Wasserstein_Divergence_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Chen_3D_Cell_Oversegmentation_Correction_via_Geo-Wasserstein_Divergence_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Chen_3D_Cell_Oversegmentation_WACV_2026_supplemental.zip | 2502.01890 | cvf | @InProceedings{Chen_2026_WACV,
author = {Chen, Peter and Chang, Bryan and A Creasey, Olivia and Sneddon, Julie Beth and Gartner, Zev J and Liu, Yining},
title = {3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applicat... | 3D cell segmentation methods are often hindered by oversegmentation, where a single cell is incorrectly split into multiple fragments. This degrades the final segmentation quality and is notoriously difficult to resolve, as oversegmentation errors often resemble natural gaps between adjacent cells. Our work makes two k... |
Raundhal_STRinGS_Selective_Text_Refinement_in_Gaussian_Splatting_WACV_2026_paper | STRinGS: Selective Text Refinement in Gaussian Splatting | [
"Abhinav Raundhal",
"Gaurav Behera",
"P. J. Narayanan",
"Ravi Kiran Sarvadevabhatla",
"Makarand Tapaswi"
] | https://openaccess.thecvf.com/content/WACV2026/html/Raundhal_STRinGS_Selective_Text_Refinement_in_Gaussian_Splatting_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Raundhal_STRinGS_Selective_Text_Refinement_in_Gaussian_Splatting_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Raundhal_STRinGS_Selective_Text_WACV_2026_supplemental.pdf | 2512.07230 | cvf | @InProceedings{Raundhal_2026_WACV,
author = {Raundhal, Abhinav and Behera, Gaurav and Narayanan, P. J. and Sarvadevabhatla, Ravi Kiran and Tapaswi, Makarand},
title = {STRinGS: Selective Text Refinement in Gaussian Splatting},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications... | Text as signs, labels, or instructions is a critical element of real-world scenes as they can convey important contextual information. 3D representations such as 3D Gaussian Splatting (3DGS) struggle to preserve fine-grained text details, while achieving high visual fidelity. Small errors in textual element reconstruct... |
Pramuditha_DARB-Splatting_Generalizing_Splatting_with_Decaying_Anisotropic_Radial_Basis_Functions_WACV_2026_paper | DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial Basis Functions | [
"Hashiru Pramuditha",
"Vinasirajan Viruthshaan",
"Vishagar Arunan",
"Saeedha Nazar",
"Sameera Ramasinghe",
"Simon Lucey",
"Ranga Rodrigo"
] | https://openaccess.thecvf.com/content/WACV2026/html/Pramuditha_DARB-Splatting_Generalizing_Splatting_with_Decaying_Anisotropic_Radial_Basis_Functions_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Pramuditha_DARB-Splatting_Generalizing_Splatting_with_Decaying_Anisotropic_Radial_Basis_Functions_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Pramuditha_DARB-Splatting_Generalizing_Splatting_WACV_2026_supplemental.pdf | 2501.12369 | cvf | @InProceedings{Pramuditha_2026_WACV,
author = {Pramuditha, Hashiru and Viruthshaan, Vinasirajan and Arunan, Vishagar and Nazar, Saeedha and Ramasinghe, Sameera and Lucey, Simon and Rodrigo, Ranga},
title = {DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial Basis Functions},
book... | Splatting-based 3D reconstruction methods have gained popularity with the advent of 3D Gaussian Splatting, efficiently synthesizing high-quality novel views. These methods commonly resort to using exponential family functions, such as the Gaussian function, as reconstruction kernels due to their anisotropic nature, eas... |
Dahling_DenseBEV_Transforming_BEV_Grid_Cells_into_3D_Objects_WACV_2026_paper | DenseBEV: Transforming BEV Grid Cells into 3D Objects | [
"Marius Dähling",
"Sebastian Krebs",
"J. Marius Zöllner"
] | https://openaccess.thecvf.com/content/WACV2026/html/Dahling_DenseBEV_Transforming_BEV_Grid_Cells_into_3D_Objects_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Dahling_DenseBEV_Transforming_BEV_Grid_Cells_into_3D_Objects_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Dahling_DenseBEV_Transforming_BEV_WACV_2026_supplemental.pdf | 2512.16818 | title_snapshot | @InProceedings{Dahling_2026_WACV,
author = {D\"ahling, Marius and Krebs, Sebastian and Z\"ollner, J. Marius},
title = {DenseBEV: Transforming BEV Grid Cells into 3D Objects},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March}... | In current research, Bird's-eye-view (BEV)-based transformers are increasingly utilized for multi-camera 3D object detection. Traditional models often employ random queries as anchors, optimizing them successively. Recent advancements complement or replace these random queries with detections from auxiliary networks. W... |
Dolan_Sun-E_Dataset_and_Benchmark_for_Event-Based_Sun_Sensing_WACV_2026_paper | Sun-E: Dataset and Benchmark for Event-Based Sun Sensing | [
"Sydney Dolan",
"Alessandro Golkar"
] | https://openaccess.thecvf.com/content/WACV2026/html/Dolan_Sun-E_Dataset_and_Benchmark_for_Event-Based_Sun_Sensing_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Dolan_Sun-E_Dataset_and_Benchmark_for_Event-Based_Sun_Sensing_WACV_2026_paper.pdf | null | null | null | @InProceedings{Dolan_2026_WACV,
author = {Dolan, Sydney and Golkar, Alessandro},
title = {Sun-E: Dataset and Benchmark for Event-Based Sun Sensing},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March},
year = {2026},
... | Event cameras are increasingly being explored for space applications due to their high dynamic range and increased spatiotemporal resolution. Existing datasets in this application have focused on capturing low-light, sub-pixel space objects and Earth observation scenarios. There remains a notable gap in datasets tailor... |
Lin_SceneEdited_A_City-Scale_Benchmark_for_3D_HD_Map_Updating_via_WACV_2026_paper | SceneEdited: A City-Scale Benchmark for 3D HD Map Updating via Image-Guided Change Detection | [
"Chun-Jung Lin",
"Tat-Jun Chin",
"Sourav Garg",
"Feras Dayoub"
] | https://openaccess.thecvf.com/content/WACV2026/html/Lin_SceneEdited_A_City-Scale_Benchmark_for_3D_HD_Map_Updating_via_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Lin_SceneEdited_A_City-Scale_Benchmark_for_3D_HD_Map_Updating_via_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Lin_SceneEdited_A_City-Scale_WACV_2026_supplemental.pdf | 2511.15153 | cvf | @InProceedings{Lin_2026_WACV,
author = {Lin, Chun-Jung and Chin, Tat-Jun and Garg, Sourav and Dayoub, Feras},
title = {SceneEdited: A City-Scale Benchmark for 3D HD Map Updating via Image-Guided Change Detection},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer ... | Accurate, up-to-date High-Definition (HD) maps are critical for urban planning, infrastructure monitoring, and autonomous navigation. However, these maps quickly become outdated as environments evolve, creating a need for robust methods that not only detect changes but also incorporate them into updated 3D representati... |
Rafi_Learning_from_Unknown_for_Open-Set_Test-Time_Adaptation_WACV_2026_paper | Learning from Unknown for Open-Set Test-Time Adaptation | [
"Taki Hasan Rafi",
"Amit Agarwal",
"Hitesh L. Patel",
"Dong-Kyu Chae"
] | https://openaccess.thecvf.com/content/WACV2026/html/Rafi_Learning_from_Unknown_for_Open-Set_Test-Time_Adaptation_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Rafi_Learning_from_Unknown_for_Open-Set_Test-Time_Adaptation_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Rafi_Learning_from_Unknown_WACV_2026_supplemental.pdf | null | null | @InProceedings{Rafi_2026_WACV,
author = {Rafi, Taki Hasan and Agarwal, Amit and Patel, Hitesh L. and Chae, Dong-Kyu},
title = {Learning from Unknown for Open-Set Test-Time Adaptation},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month ... | Deep learning models often struggle to maintain performance when the training and testing data come from different distributions. Test-time adaptation (TTA) addresses this by adapting a pre-trained model to an unlabeled target domain under distribution shifts. A more challenging setting is open-set TTA (OSTTA), where t... |
Aguirre_Enhanced_Back-Projection_of_Vision_Features_for_3D_Symmetry_Detection_WACV_2026_paper | Enhanced Back-Projection of Vision Features for 3D Symmetry Detection | [
"Isaac Aguirre",
"Ivan Sipiran"
] | https://openaccess.thecvf.com/content/WACV2026/html/Aguirre_Enhanced_Back-Projection_of_Vision_Features_for_3D_Symmetry_Detection_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Aguirre_Enhanced_Back-Projection_of_Vision_Features_for_3D_Symmetry_Detection_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Aguirre_Enhanced_Back-Projection_of_WACV_2026_supplemental.pdf | null | null | @InProceedings{Aguirre_2026_WACV,
author = {Aguirre, Isaac and Sipiran, Ivan},
title = {Enhanced Back-Projection of Vision Features for 3D Symmetry Detection},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March},
year ... | We propose two algorithms for 3D symmetry detection based on enhanced back-projection of vision features extracted from foundation vision models such as DINOv2. Our method enhances back-projection by rendering multiple views of 3D objects, extracting features, and projecting them onto the geometry with two key improvem... |
Liu_START_Spatial_and_Textual_Learning_for_Chart_Understanding_WACV_2026_paper | START: Spatial and Textual Learning for Chart Understanding | [
"Zhuoming Liu",
"Xiaofeng Gao",
"Feiyang Niu",
"Qiaozi Gao",
"Liu Liu",
"Robinson Piramuthu"
] | https://openaccess.thecvf.com/content/WACV2026/html/Liu_START_Spatial_and_Textual_Learning_for_Chart_Understanding_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Liu_START_Spatial_and_Textual_Learning_for_Chart_Understanding_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Liu_START_Spatial_and_WACV_2026_supplemental.pdf | 2512.07186 | cvf | @InProceedings{Liu_2026_WACV,
author = {Liu, Zhuoming and Gao, Xiaofeng and Niu, Feiyang and Gao, Qiaozi and Liu, Liu and Piramuthu, Robinson},
title = {START: Spatial and Textual Learning for Chart Understanding},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer... | Chart understanding is crucial for deploying multimodal large language models (MLLMs) in real-world scenarios such as analyzing scientific papers and technical reports. Unlike natural images, charts pair a structured visual layout (spatial property) with an underlying data representation (textual property) -- grasping ... |
Hasny_Tables_Guide_Vision_Learning_to_See_the_Heart_through_Tabular_WACV_2026_paper | Tables Guide Vision: Learning to See the Heart through Tabular Data | [
"Marta Hasny",
"Maxime Di Folco",
"Keno Bressem",
"Julia Schnabel"
] | https://openaccess.thecvf.com/content/WACV2026/html/Hasny_Tables_Guide_Vision_Learning_to_See_the_Heart_through_Tabular_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Hasny_Tables_Guide_Vision_Learning_to_See_the_Heart_through_Tabular_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Hasny_Tables_Guide_Vision_WACV_2026_supplemental.pdf | 2503.14998 | cvf | @InProceedings{Hasny_2026_WACV,
author = {Hasny, Marta and Di Folco, Maxime and Bressem, Keno and Schnabel, Julia},
title = {Tables Guide Vision: Learning to See the Heart through Tabular Data},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
... | Contrastive learning methods in computer vision typically rely on augmented views of the same image or multimodal pretraining strategies that align paired modalities. However, these approaches often overlook semantic relationships between distinct instances, leading to false negatives when semantically similar samples ... |
Honda_Adversarial_Pseudo-replay_for_Exemplar-free_Class-incremental_Learning_WACV_2026_paper | Adversarial Pseudo-replay for Exemplar-free Class-incremental Learning | [
"Hiroto Honda"
] | https://openaccess.thecvf.com/content/WACV2026/html/Honda_Adversarial_Pseudo-replay_for_Exemplar-free_Class-incremental_Learning_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Honda_Adversarial_Pseudo-replay_for_Exemplar-free_Class-incremental_Learning_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Honda_Adversarial_Pseudo-replay_for_WACV_2026_supplemental.pdf | 2511.17973 | cvf | @InProceedings{Honda_2026_WACV,
author = {Honda, Hiroto},
title = {Adversarial Pseudo-replay for Exemplar-free Class-incremental Learning},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March},
year = {2026},
pages... | Exemplar-free class-incremental learning (EFCIL) aims to retain old knowledge acquired in the previous task while learning new classes, without storing the previous images due to storage constraints or privacy concerns. In EFCIL, the plasticity-stability dilemma, learning new tasks versus catastrophic forgetting, is a ... |
Monninger_AugMapNet_Improving_Spatial_Latent_Structure_via_BEV_Grid_Augmentation_for_WACV_2026_paper | AugMapNet: Improving Spatial Latent Structure via BEV Grid Augmentation for Enhanced Vectorized Online HD Map Construction | [
"Thomas Monninger",
"Md Zafar Anwar",
"Stanislaw Antol",
"Steffen Staab",
"Sihao Ding"
] | https://openaccess.thecvf.com/content/WACV2026/html/Monninger_AugMapNet_Improving_Spatial_Latent_Structure_via_BEV_Grid_Augmentation_for_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Monninger_AugMapNet_Improving_Spatial_Latent_Structure_via_BEV_Grid_Augmentation_for_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Monninger_AugMapNet_Improving_Spatial_WACV_2026_supplemental.zip | 2503.13430 | cvf | @InProceedings{Monninger_2026_WACV,
author = {Monninger, Thomas and Anwar, Md Zafar and Antol, Stanislaw and Staab, Steffen and Ding, Sihao},
title = {AugMapNet: Improving Spatial Latent Structure via BEV Grid Augmentation for Enhanced Vectorized Online HD Map Construction},
booktitle = {Proceedings ... | Autonomous driving requires understanding infrastructure elements, such as lanes and crosswalks. To navigate safely, this understanding must be derived from sensor data in real-time and needs to be represented in vectorized form. Learned Bird's-Eye View (BEV) encoders are commonly used to combine a set of camera images... |
Xie_Sketch-guided_Cage-based_3D_Gaussian_Splatting_Deformation_WACV_2026_paper | Sketch-guided Cage-based 3D Gaussian Splatting Deformation | [
"Tianhao Xie",
"Noam Aigerman",
"Eugene Belilovsky",
"Tiberiu Popa"
] | https://openaccess.thecvf.com/content/WACV2026/html/Xie_Sketch-guided_Cage-based_3D_Gaussian_Splatting_Deformation_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Xie_Sketch-guided_Cage-based_3D_Gaussian_Splatting_Deformation_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Xie_Sketch-guided_Cage-based_3D_WACV_2026_supplemental.zip | 2411.12168 | cvf | @InProceedings{Xie_2026_WACV,
author = {Xie, Tianhao and Aigerman, Noam and Belilovsky, Eugene and Popa, Tiberiu},
title = {Sketch-guided Cage-based 3D Gaussian Splatting Deformation},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month ... | 3D Gaussian Splatting (GS) is one of the most promising novel 3D representations that has received great interest in computer graphics and computer vision. While various systems have introduced editing capabilities for 3D GS, such as those guided by text prompts, fine-grained control over deformation remains an open ch... |
Mutlu_Mem-MLP_Real-Time_3D_Human_Motion_Generation_from_Sparse_Inputs_WACV_2026_paper | Mem-MLP: Real-Time 3D Human Motion Generation from Sparse Inputs | [
"Sinan Mutlu",
"Georgios F. Angelis",
"Savas Ozkan",
"Paul Wisbey",
"Anastasios Drosou",
"Mete Ozay"
] | https://openaccess.thecvf.com/content/WACV2026/html/Mutlu_Mem-MLP_Real-Time_3D_Human_Motion_Generation_from_Sparse_Inputs_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Mutlu_Mem-MLP_Real-Time_3D_Human_Motion_Generation_from_Sparse_Inputs_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Mutlu_Mem-MLP_Real-Time_3D_WACV_2026_supplemental.pdf | 2511.16264 | cvf | @InProceedings{Mutlu_2026_WACV,
author = {Mutlu, Sinan and Angelis, Georgios F. and Ozkan, Savas and Wisbey, Paul and Drosou, Anastasios and Ozay, Mete},
title = {Mem-MLP: Real-Time 3D Human Motion Generation from Sparse Inputs},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applicati... | Realistic and smooth full-body tracking is crucial for immersive AR/VR applications. Existing systems primarily track head and hands via Head Mounted Devices (HMDs) and controllers, making the 3D full-body reconstruction incomplete. One potential approach is to generate the full-body motions from sparse inputs collecte... |
Kim_RapidMV_Leveraging_Spatio-Angular_Latent_Space_for_Efficient_and_Consistent_Text-to-Multi-View_WACV_2026_paper | RapidMV: Leveraging Spatio-Angular Latent Space for Efficient and Consistent Text-to-Multi-View Synthesis | [
"Seungwook Kim",
"Yichun Shi",
"Kejie Li",
"Minsu Cho",
"Peng Wang"
] | https://openaccess.thecvf.com/content/WACV2026/html/Kim_RapidMV_Leveraging_Spatio-Angular_Latent_Space_for_Efficient_and_Consistent_Text-to-Multi-View_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Kim_RapidMV_Leveraging_Spatio-Angular_Latent_Space_for_Efficient_and_Consistent_Text-to-Multi-View_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Kim_RapidMV_Leveraging_Spatio-Angular_WACV_2026_supplemental.pdf | 2509.24410 | title_judge | @InProceedings{Kim_2026_WACV,
author = {Kim, Seungwook and Shi, Yichun and Li, Kejie and Cho, Minsu and Wang, Peng},
title = {RapidMV: Leveraging Spatio-Angular Latent Space for Efficient and Consistent Text-to-Multi-View Synthesis},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Appli... | Generating synthetic multi-view images from a text prompt is an essential bridge to generating synthetic 3D assets. In this work, we introduce RapidMV, a novel text-to-multi-view generative model that can produce 32 multi-view synthetic images in just around 5 seconds. In essence, we introduce a novel spatio-angular la... |
Gupta_BrandFusion_Aligning_Image_Generation_with_Brand_Styles_WACV_2026_paper | BrandFusion: Aligning Image Generation with Brand Styles | [
"Parul Gupta",
"Varun Khurana",
"Yaman Kumar Singla",
"Balaji Krishnamurthy",
"Abhinav Dhall"
] | https://openaccess.thecvf.com/content/WACV2026/html/Gupta_BrandFusion_Aligning_Image_Generation_with_Brand_Styles_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Gupta_BrandFusion_Aligning_Image_Generation_with_Brand_Styles_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Gupta_BrandFusion_Aligning_Image_WACV_2026_supplemental.zip | null | null | @InProceedings{Gupta_2026_WACV,
author = {Gupta, Parul and Khurana, Varun and Singla, Yaman Kumar and Krishnamurthy, Balaji and Dhall, Abhinav},
title = {BrandFusion: Aligning Image Generation with Brand Styles},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer V... | While recent text-to-image models excel at generating realistic content, they struggle to capture the nuanced visual characteristics that define a brand's distinctive style--such as lighting preferences, photography genres, color palettes, and compositional choices. This work introduces BrandFusion, a novel framework t... |
Cheng_SurgXBench_Explainable_Vision-Language_Model_Benchmark_for_Surgery_WACV_2026_paper | SurgXBench: Explainable Vision-Language Model Benchmark for Surgery | [
"Jiajun Cheng",
"Xianwu Zhao",
"Sainan Liu",
"Xiaofan Yu",
"Ravi Prakash",
"Patrick J. Codd",
"Jonathan Elliott Katz",
"Shan Lin"
] | https://openaccess.thecvf.com/content/WACV2026/html/Cheng_SurgXBench_Explainable_Vision-Language_Model_Benchmark_for_Surgery_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Cheng_SurgXBench_Explainable_Vision-Language_Model_Benchmark_for_Surgery_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Cheng_SurgXBench_Explainable_Vision-Language_WACV_2026_supplemental.pdf | 2505.10764 | cvf | @InProceedings{Cheng_2026_WACV,
author = {Cheng, Jiajun and Zhao, Xianwu and Liu, Sainan and Yu, Xiaofan and Prakash, Ravi and Codd, Patrick J. and Katz, Jonathan Elliott and Lin, Shan},
title = {SurgXBench: Explainable Vision-Language Model Benchmark for Surgery},
booktitle = {Proceedings of the IEE... | Innovations in digital intelligence are transforming robotic surgery through more informed decision-making. Real-time awareness of surgical instrument presence and actions (e.g., cutting tissue) is essential, yet despite decades of research, most machine learning models rely on small datasets and still struggle to gene... |
Zeng_SCALEX_Scalable_Concept_and_Latent_Exploration_for_Diffusion_Models_WACV_2026_paper | SCALEX: Scalable Concept and Latent Exploration for Diffusion Models | [
"E. Zhixuan Zeng",
"Yuhao Chen",
"Alexander Wong"
] | https://openaccess.thecvf.com/content/WACV2026/html/Zeng_SCALEX_Scalable_Concept_and_Latent_Exploration_for_Diffusion_Models_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Zeng_SCALEX_Scalable_Concept_and_Latent_Exploration_for_Diffusion_Models_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Zeng_SCALEX_Scalable_Concept_WACV_2026_supplemental.pdf | 2511.13750 | cvf | @InProceedings{Zeng_2026_WACV,
author = {Zeng, E. Zhixuan and Chen, Yuhao and Wong, Alexander},
title = {SCALEX: Scalable Concept and Latent Exploration for Diffusion Models},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March... | Image generation models frequently encode social biases, including stereotypes tied to gender, race, and profession. Existing methods for analyzing these biases in diffusion models either focus narrowly on predefined categories or depend on manual interpretation of latent directions. These constraints limit scalability... |
Sun_CanKD_Cross-Attention-based_Non-local_Operation_for_Feature-based_Knowledge_Distillation_WACV_2026_paper | CanKD: Cross-Attention-based Non-local Operation for Feature-based Knowledge Distillation | [
"Shizhe Sun",
"Wataru Ohyama"
] | https://openaccess.thecvf.com/content/WACV2026/html/Sun_CanKD_Cross-Attention-based_Non-local_Operation_for_Feature-based_Knowledge_Distillation_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Sun_CanKD_Cross-Attention-based_Non-local_Operation_for_Feature-based_Knowledge_Distillation_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Sun_CanKD_Cross-Attention-based_Non-local_WACV_2026_supplemental.pdf | 2511.21503 | cvf | @InProceedings{Sun_2026_WACV,
author = {Sun, Shizhe and Ohyama, Wataru},
title = {CanKD: Cross-Attention-based Non-local Operation for Feature-based Knowledge Distillation},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March},... | We propose Cross-Attention-based Non-local Knowledge Distillation (CanKD), a novel feature-based knowledge distillation framework that leverages cross-attention mechanisms to enhance the knowledge transfer process. Unlike traditional self-attention-based distillation methods that align teacher and student feature maps ... |
Kung_Reverse_Personalization_WACV_2026_paper | Reverse Personalization | [
"Han-Wei Kung",
"Tuomas Varanka",
"Nicu Sebe"
] | https://openaccess.thecvf.com/content/WACV2026/html/Kung_Reverse_Personalization_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Kung_Reverse_Personalization_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Kung_Reverse_Personalization_WACV_2026_supplemental.pdf | 2512.22984 | cvf | @InProceedings{Kung_2026_WACV,
author = {Kung, Han-Wei and Varanka, Tuomas and Sebe, Nicu},
title = {Reverse Personalization},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March},
year = {2026},
pages = {988-9... | Recent text-to-image diffusion models have demonstrated remarkable generation of realistic facial images conditioned on textual prompts and human identities, enabling creating personalized facial imagery. However, existing prompt-based methods for removing or modifying identity-specific features rely either on the subj... |
Jain_HumanBench_Two_Heads_No_Legs_But_Mostly_Human_the_State_WACV_2026_paper | HumanBench: Two Heads, No Legs, But Mostly Human, the State of Generative Capabilities in T2I Models | [
"Anubhooti Jain",
"Mayank Vatsa",
"Richa Singh"
] | https://openaccess.thecvf.com/content/WACV2026/html/Jain_HumanBench_Two_Heads_No_Legs_But_Mostly_Human_the_State_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Jain_HumanBench_Two_Heads_No_Legs_But_Mostly_Human_the_State_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Jain_HumanBench_Two_Heads_WACV_2026_supplemental.pdf | null | null | @InProceedings{Jain_2026_WACV,
author = {Jain, Anubhooti and Vatsa, Mayank and Singh, Richa},
title = {HumanBench: Two Heads, No Legs, But Mostly Human, the State of Generative Capabilities in T2I Models},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (... | Despite rapid advances, text-to-image (T2I) models still falter in generating anatomically coherent and semantically grounded humans. We introduce HumanBench, a large-scale (35K-image), privacy-friendly benchmark that rigorously evaluates T2I models across four axes: template consistency, spatial reasoning, action unde... |
Qi_SmokeBench_Evaluating_Multimodal_Large_Language_Models_for_Wildfire_Smoke_Detection_WACV_2026_paper | SmokeBench: Evaluating Multimodal Large Language Models for Wildfire Smoke Detection | [
"Tianye Qi",
"Weihao Li",
"Nick Barnes"
] | https://openaccess.thecvf.com/content/WACV2026/html/Qi_SmokeBench_Evaluating_Multimodal_Large_Language_Models_for_Wildfire_Smoke_Detection_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Qi_SmokeBench_Evaluating_Multimodal_Large_Language_Models_for_Wildfire_Smoke_Detection_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Qi_SmokeBench_Evaluating_Multimodal_WACV_2026_supplemental.zip | 2512.11215 | cvf | @InProceedings{Qi_2026_WACV,
author = {Qi, Tianye and Li, Weihao and Barnes, Nick},
title = {SmokeBench: Evaluating Multimodal Large Language Models for Wildfire Smoke Detection},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {M... | Wildfire smoke is transparent, amorphous, and often visually confounded with clouds, making early-stage detection particularly challenging. In this work, we introduce a benchmark, called SmokeBench, to evaluate the ability of multimodal large language models (MLLMs) to recognize and localize wildfire smoke in images. T... |
Fucka_ObjectCore_-_Efficient_Few-shot_Logical_Anomaly_Detection_using_Object_Representations_WACV_2026_paper | ObjectCore - Efficient Few-shot Logical Anomaly Detection using Object Representations | [
"Matic Fučka",
"Vitjan Zavrtanik",
"Danijel Skočaj"
] | https://openaccess.thecvf.com/content/WACV2026/html/Fucka_ObjectCore_-_Efficient_Few-shot_Logical_Anomaly_Detection_using_Object_Representations_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Fucka_ObjectCore_-_Efficient_Few-shot_Logical_Anomaly_Detection_using_Object_Representations_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Fucka_ObjectCore_-_Efficient_WACV_2026_supplemental.pdf | null | null | @InProceedings{Fucka_2026_WACV,
author = {Fu\v{c}ka, Matic and Zavrtanik, Vitjan and Sko\v{c}aj, Danijel},
title = {ObjectCore - Efficient Few-shot Logical Anomaly Detection using Object Representations},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (W... | Anomaly Detection is an important problem in industrial processes. Two new subfields have recently emerged: logical anomaly detection and few-shot anomaly detection. The combined task, few-shot logical anomaly detection, has proven exceptionally difficult and highly important for industrial processes. Few-shot methods ... |
Karimian_CLIP-IT_CLIP-based_Pairing_of_Histology_Images_with_Privileged_Textual_Information_WACV_2026_paper | CLIP-IT: CLIP-based Pairing of Histology Images with Privileged Textual Information | [
"Banafsheh Karimian",
"Giulia Avanzato",
"Soufiane Belharbi",
"Alexis Guichemerre",
"Luke McCaffrey",
"Mohammadhadi Shateri",
"Eric Granger"
] | https://openaccess.thecvf.com/content/WACV2026/html/Karimian_CLIP-IT_CLIP-based_Pairing_of_Histology_Images_with_Privileged_Textual_Information_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Karimian_CLIP-IT_CLIP-based_Pairing_of_Histology_Images_with_Privileged_Textual_Information_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Karimian_CLIP-IT_CLIP-based_Pairing_WACV_2026_supplemental.pdf | 2504.16181 | title_judge | @InProceedings{Karimian_2026_WACV,
author = {Karimian, Banafsheh and Avanzato, Giulia and Belharbi, Soufiane and Guichemerre, Alexis and McCaffrey, Luke and Shateri, Mohammadhadi and Granger, Eric},
title = {CLIP-IT: CLIP-based Pairing of Histology Images with Privileged Textual Information},
booktit... | Multimodal learning has shown promise in medical imaging, combining complementary modalities like images and text. Vision-language models (VLMs) capture rich diagnostic cues but often require large paired datasets and prompt or text-based inference. Their practicality is therefore limited due to annotation cost, privac... |
Mondal_UniTabBank_A_Large_Scale_Multi-Lingual_Multi-Layout_Multi-Type_Multi-Format_Dataset_for_WACV_2026_paper | UniTabBank: A Large Scale Multi-Lingual, Multi-Layout, Multi-Type, Multi-Format Dataset for Table Detection | [
"Ajoy Mondal",
"Saumya Mundra",
"Avijit Dasgupta",
"C.V. Jawahar"
] | https://openaccess.thecvf.com/content/WACV2026/html/Mondal_UniTabBank_A_Large_Scale_Multi-Lingual_Multi-Layout_Multi-Type_Multi-Format_Dataset_for_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Mondal_UniTabBank_A_Large_Scale_Multi-Lingual_Multi-Layout_Multi-Type_Multi-Format_Dataset_for_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Mondal_UniTabBank_A_Large_WACV_2026_supplemental.pdf | null | null | @InProceedings{Mondal_2026_WACV,
author = {Mondal, Ajoy and Mundra, Saumya and Dasgupta, Avijit and Jawahar, C.V.},
title = {UniTabBank: A Large Scale Multi-Lingual, Multi-Layout, Multi-Type, Multi-Format Dataset for Table Detection},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Appl... | Tables play a key role in conveying structured data across documents. Accurate table detection is crucial for downstream tasks like structure recognition and information extraction. However, current datasets lack diversity in format, language, and layout, limiting real-world generalization. This underscores the need fo... |
Gopinathan_Temporal_Object_Captioning_for_Street_Scene_Videos_from_LiDAR_Tracks_WACV_2026_paper | Temporal Object Captioning for Street Scene Videos from LiDAR Tracks | [
"Vignesh Gopinathan",
"Urs Zimmermann",
"Michael Arnold",
"Matthias Rottmann"
] | https://openaccess.thecvf.com/content/WACV2026/html/Gopinathan_Temporal_Object_Captioning_for_Street_Scene_Videos_from_LiDAR_Tracks_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Gopinathan_Temporal_Object_Captioning_for_Street_Scene_Videos_from_LiDAR_Tracks_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Gopinathan_Temporal_Object_Captioning_WACV_2026_supplemental.pdf | 2505.16594 | cvf | @InProceedings{Gopinathan_2026_WACV,
author = {Gopinathan, Vignesh and Zimmermann, Urs and Arnold, Michael and Rottmann, Matthias},
title = {Temporal Object Captioning for Street Scene Videos from LiDAR Tracks},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vi... | Video captioning models have seen notable advancements in recent years, especially with regard to their ability to capture temporal information. While many research efforts have focused on architectural advancements, such as temporal attention mechanisms, there remains a notable gap in understanding how models capture ... |
Raji_MDUNet_Multimodal_Decoding_UNet_for_Passive_Occluder-Aided_Non-line-of-sight_3D_Imaging_WACV_2026_paper | MDUNet: Multimodal Decoding UNet for Passive Occluder-Aided Non-line-of-sight 3D Imaging | [
"Fadlullah Raji",
"John Murray-Bruce"
] | https://openaccess.thecvf.com/content/WACV2026/html/Raji_MDUNet_Multimodal_Decoding_UNet_for_Passive_Occluder-Aided_Non-line-of-sight_3D_Imaging_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Raji_MDUNet_Multimodal_Decoding_UNet_for_Passive_Occluder-Aided_Non-line-of-sight_3D_Imaging_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Raji_MDUNet_Multimodal_Decoding_WACV_2026_supplemental.pdf | null | null | @InProceedings{Raji_2026_WACV,
author = {Raji, Fadlullah and Murray-Bruce, John},
title = {MDUNet: Multimodal Decoding UNet for Passive Occluder-Aided Non-line-of-sight 3D Imaging},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = ... | A conventional camera captures an image of a directly visible scene by measuring the light intensity (and color) arriving at each pixel of its image sensor from a corresponding scene patch. Accordingly, conventional photography treats the measured light as being solely informative of the directly visible scene. Recent ... |
Jha_Being_Positive_about_Negative_Queries_Exclusion_Aware_Multimodal_Retrieval_using_WACV_2026_paper | Being Positive about Negative Queries: Exclusion Aware Multimodal Retrieval using Disentangled Representations | [
"Prachi Jha",
"Sumit Bhatia",
"Srikanta Bedathur"
] | https://openaccess.thecvf.com/content/WACV2026/html/Jha_Being_Positive_about_Negative_Queries_Exclusion_Aware_Multimodal_Retrieval_using_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Jha_Being_Positive_about_Negative_Queries_Exclusion_Aware_Multimodal_Retrieval_using_WACV_2026_paper.pdf | null | null | null | @InProceedings{Jha_2026_WACV,
author = {Jha, Prachi and Bhatia, Sumit and Bedathur, Srikanta},
title = {Being Positive about Negative Queries: Exclusion Aware Multimodal Retrieval using Disentangled Representations},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Comput... | The handling of exclusion in multimodal retrieval remains an underexplored challenge with significant implications for the accuracy and reliability of information retrieval systems. Although existing approaches have advanced multimodal understanding, they typically lack mechanisms to process exclusion explicitly. To ad... |
Yan_Gaussian_Swaying_Surface-Based_Framework_for_Aerodynamic_Simulation_with_3D_Gaussians_WACV_2026_paper | Gaussian Swaying: Surface-Based Framework for Aerodynamic Simulation with 3D Gaussians | [
"Hongru Yan",
"Xiang Zhang",
"Zeyuan Chen",
"Fangyin Wei",
"Zhuowen Tu"
] | https://openaccess.thecvf.com/content/WACV2026/html/Yan_Gaussian_Swaying_Surface-Based_Framework_for_Aerodynamic_Simulation_with_3D_Gaussians_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Yan_Gaussian_Swaying_Surface-Based_Framework_for_Aerodynamic_Simulation_with_3D_Gaussians_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Yan_Gaussian_Swaying_Surface-Based_WACV_2026_supplemental.zip | 2512.01306 | cvf | @InProceedings{Yan_2026_WACV,
author = {Yan, Hongru and Zhang, Xiang and Chen, Zeyuan and Wei, Fangyin and Tu, Zhuowen},
title = {Gaussian Swaying: Surface-Based Framework for Aerodynamic Simulation with 3D Gaussians},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Comp... | Branches swaying in the breeze, flags rippling in the wind, and boats rocking on the water all show how aerodynamics shape natural motion -- an effect crucial for realism in vision and graphics. In this paper, we present Gaussian Swaying, a surface-based framework for aerodynamic simulation using 3D Gaussians. Unlike m... |
Latif_Enhancing_Vision_Language_Corruption_Robustness_using_Cross-Distribution__Prompted_Denoisers_WACV_2026_paper | Enhancing Vision Language Corruption Robustness using Cross-Distribution & Prompted Denoisers | [
"Sameer Shafayet Latif",
"Sadab Shiper",
"K. M. Rahiduzzaman Kiran",
"Md Farhan Ishmam",
"Md Azam Hossain",
"Abu Raihan Mostofa Kamal",
"Md Hamjajul Ashmafee"
] | https://openaccess.thecvf.com/content/WACV2026/html/Latif_Enhancing_Vision_Language_Corruption_Robustness_using_Cross-Distribution__Prompted_Denoisers_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Latif_Enhancing_Vision_Language_Corruption_Robustness_using_Cross-Distribution__Prompted_Denoisers_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Latif_Enhancing_Vision_Language_WACV_2026_supplemental.pdf | null | null | @InProceedings{Latif_2026_WACV,
author = {Latif, Sameer Shafayet and Shiper, Sadab and Kiran, K. M. Rahiduzzaman and Ishmam, Md Farhan and Hossain, Md Azam and Kamal, Abu Raihan Mostofa and Ashmafee, Md Hamjajul},
title = {Enhancing Vision Language Corruption Robustness using Cross-Distribution \& Prompt... | While the current generation of Vision Language Models (VLMs) has excelled in ideal conditions, their performance drops significantly when exposed to realistic multimodal corruptions, such as blurry images and grammatically incorrect text. Our work addresses this by establishing a novel multimodal corruption and denois... |
Plou_FALCONEye_Finding_Answers_and_Localizing_Content_in_ONE-hour-long_videos_with_WACV_2026_paper | FALCONEye: Finding Answers and Localizing Content in ONE-hour-long videos with multi-modal LLMs | [
"Carlos Plou",
"Cesar Borja",
"Ruben Martinez-Cantin",
"Ana C. Murillo"
] | https://openaccess.thecvf.com/content/WACV2026/html/Plou_FALCONEye_Finding_Answers_and_Localizing_Content_in_ONE-hour-long_videos_with_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Plou_FALCONEye_Finding_Answers_and_Localizing_Content_in_ONE-hour-long_videos_with_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Plou_FALCONEye_Finding_Answers_WACV_2026_supplemental.pdf | 2503.19850 | title_snapshot | @InProceedings{Plou_2026_WACV,
author = {Plou, Carlos and Borja, Cesar and Martinez-Cantin, Ruben and Murillo, Ana C.},
title = {FALCONEye: Finding Answers and Localizing Content in ONE-hour-long videos with multi-modal LLMs},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications... | Finding information in hour-long videos is a challenging task even for top-performing Vision Language Models (VLMs), as encoding visual content quickly exceeds available context windows. To tackle this challenge, we present FALCONEye, a novel video agent based on a training-free, model-agnostic meta-architecture compos... |
Pakdamansavoji_WALDO_Where_Unseen_Model-based_6D_Pose_Estimation_Meets_Occlusion_WACV_2026_paper | WALDO: Where Unseen Model-based 6D Pose Estimation Meets Occlusion | [
"Sajjad Pakdamansavoji",
"Yintao Ma",
"Amir Rasouli",
"Tongtong Cao"
] | https://openaccess.thecvf.com/content/WACV2026/html/Pakdamansavoji_WALDO_Where_Unseen_Model-based_6D_Pose_Estimation_Meets_Occlusion_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Pakdamansavoji_WALDO_Where_Unseen_Model-based_6D_Pose_Estimation_Meets_Occlusion_WACV_2026_paper.pdf | null | 2511.15874 | cvf | @InProceedings{Pakdamansavoji_2026_WACV,
author = {Pakdamansavoji, Sajjad and Ma, Yintao and Rasouli, Amir and Cao, Tongtong},
title = {WALDO: Where Unseen Model-based 6D Pose Estimation Meets Occlusion},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (W... | Accurate 6D object pose estimation is vital for robotics, augmented reality, and scene understanding. For seen objects, high accuracy is often attainable via per-object fine-tuning but generalizing to unseen objects remains a challenge. To address this problem, past arts assume access to CAD models at test time and typ... |
Mandal_Enabling_High-Quality_In-the-Wild_Imaging_from_Severely_Aberrated_Metalens_Bursts_WACV_2026_paper | Enabling High-Quality In-the-Wild Imaging from Severely Aberrated Metalens Bursts | [
"Debabrata Mandal",
"Zhihan Peng",
"Yujie Wang",
"Praneeth Chakravarthula"
] | https://openaccess.thecvf.com/content/WACV2026/html/Mandal_Enabling_High-Quality_In-the-Wild_Imaging_from_Severely_Aberrated_Metalens_Bursts_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Mandal_Enabling_High-Quality_In-the-Wild_Imaging_from_Severely_Aberrated_Metalens_Bursts_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Mandal_Enabling_High-Quality_In-the-Wild_WACV_2026_supplemental.zip | 2510.10083 | cvf | @InProceedings{Mandal_2026_WACV,
author = {Mandal, Debabrata and Peng, Zhihan and Wang, Yujie and Chakravarthula, Praneeth},
title = {Enabling High-Quality In-the-Wild Imaging from Severely Aberrated Metalens Bursts},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Compu... | We tackle the challenge of robust, in-the-wild imaging using ultra-thin nanophotonic metalens cameras. Meta-lenses, composed of planar arrays of nanoscale scatterers, promise dramatic reductions in size and weight compared to conventional refractive optics. However, severe chromatic aberration, pronounced light scatter... |
Howlader_CORA_Consistency-Guided_Semi-Supervised_Framework_for_Reasoning_Segmentation_WACV_2026_paper | CORA: Consistency-Guided Semi-Supervised Framework for Reasoning Segmentation | [
"Prantik Howlader",
"Hoang Nguyen-Canh",
"Srijan Das",
"Jingyi Xu",
"Hieu Le",
"Dimitris Samaras"
] | https://openaccess.thecvf.com/content/WACV2026/html/Howlader_CORA_Consistency-Guided_Semi-Supervised_Framework_for_Reasoning_Segmentation_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Howlader_CORA_Consistency-Guided_Semi-Supervised_Framework_for_Reasoning_Segmentation_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Howlader_CORA_Consistency-Guided_Semi-Supervised_WACV_2026_supplemental.pdf | 2511.17755 | title_snapshot | @InProceedings{Howlader_2026_WACV,
author = {Howlader, Prantik and Nguyen-Canh, Hoang and Das, Srijan and Xu, Jingyi and Le, Hieu and Samaras, Dimitris},
title = {CORA: Consistency-Guided Semi-Supervised Framework for Reasoning Segmentation},
booktitle = {Proceedings of the IEEE/CVF Winter Conference... | Reasoning segmentation seeks pixel-accurate masks for targets referenced by complex, often implicit instructions, requiring context-dependent reasoning over the scene. Recent multimodal language models have advanced instruction following segmentation, yet generalization remains limited. The key bottleneck is the high c... |
Shenoy_Gradient-Free_Classifier_Guidance_for_Diffusion_Model_Sampling_WACV_2026_paper | Gradient-Free Classifier Guidance for Diffusion Model Sampling | [
"Rahul Shenoy",
"Zhihong Pan",
"Kaushik Balakrishnan",
"Qiseng Cheng",
"Yongmoon Jeon",
"Heejune Yang",
"Jaewon Kim"
] | https://openaccess.thecvf.com/content/WACV2026/html/Shenoy_Gradient-Free_Classifier_Guidance_for_Diffusion_Model_Sampling_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Shenoy_Gradient-Free_Classifier_Guidance_for_Diffusion_Model_Sampling_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Shenoy_Gradient-Free_Classifier_Guidance_WACV_2026_supplemental.pdf | 2411.15393 | cvf | @InProceedings{Shenoy_2026_WACV,
author = {Shenoy, Rahul and Pan, Zhihong and Balakrishnan, Kaushik and Cheng, Qiseng and Jeon, Yongmoon and Yang, Heejune and Kim, Jaewon},
title = {Gradient-Free Classifier Guidance for Diffusion Model Sampling},
booktitle = {Proceedings of the IEEE/CVF Winter Confer... | Unguided sampling in diffusion models is known to generate images of wide variations, albeit with a trade-off in image fidelity. Guided sampling methods, such as classifier guidance (CG) and classifier-free guidance (CFG), focus on sampling in well-learned high-probability regions to generate images of high fidelity, b... |
Lee_Point2Pose_A_Generative_Framework_for_3D_Human_Pose_Estimation_with_WACV_2026_paper | Point2Pose: A Generative Framework for 3D Human Pose Estimation with Multi-View Point Cloud Dataset | [
"Hyunsoo Lee",
"Daeum Jeon",
"Hyeokjae Oh"
] | https://openaccess.thecvf.com/content/WACV2026/html/Lee_Point2Pose_A_Generative_Framework_for_3D_Human_Pose_Estimation_with_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Lee_Point2Pose_A_Generative_Framework_for_3D_Human_Pose_Estimation_with_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Lee_Point2Pose_A_Generative_WACV_2026_supplemental.pdf | 2512.10321 | cvf | @InProceedings{Lee_2026_WACV,
author = {Lee, Hyunsoo and Jeon, Daeum and Oh, Hyeokjae},
title = {Point2Pose: A Generative Framework for 3D Human Pose Estimation with Multi-View Point Cloud Dataset},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},... | We propose a novel generative approach for 3D human pose estimation. 3D human pose estimation poses several key challenges due to the complex geometry of the human body, self-occluding joints, and the requirement for large-scale real-world motion datasets. To address these challenges, we introduce Point2Pose, a framewo... |
Kim_GDoFS_Gaussian_DoF_Separation_for_Plausible_3D_Geometry_in_Sparse-View_WACV_2026_paper | GDoFS: Gaussian DoF Separation for Plausible 3D Geometry in Sparse-View 3DGS | [
"Yongsung Kim",
"Jooyoung Choi",
"Sungroh Yoon"
] | https://openaccess.thecvf.com/content/WACV2026/html/Kim_GDoFS_Gaussian_DoF_Separation_for_Plausible_3D_Geometry_in_Sparse-View_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Kim_GDoFS_Gaussian_DoF_Separation_for_Plausible_3D_Geometry_in_Sparse-View_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Kim_GDoFS_Gaussian_DoF_WACV_2026_supplemental.zip | 2412.14568 | title_judge | @InProceedings{Kim_2026_WACV,
author = {Kim, Yongsung and Choi, Jooyoung and Yoon, Sungroh},
title = {GDoFS: Gaussian DoF Separation for Plausible 3D Geometry in Sparse-View 3DGS},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {... | Recent deep learning-based Multi-View Stereo (MVS) approaches, such as MASt3R and VGGT, have shown strong performance in sparse-view 3D reconstruction. However, refining these outputs with 3D Gaussian Splatting (3DGS) remains non-trivial. Excessive positional degrees of freedom (DoFs) in Gaussians often cause instabili... |
Yu_Gen-AFFECT_Generation_of_Avatar_Fine-grained_Facial_Expressions_with_Consistent_identiTy_WACV_2026_paper | Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy | [
"Hao Yu",
"Rupayan Mallick",
"Margrit Betke",
"Sarah Adel Bargal"
] | https://openaccess.thecvf.com/content/WACV2026/html/Yu_Gen-AFFECT_Generation_of_Avatar_Fine-grained_Facial_Expressions_with_Consistent_identiTy_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Yu_Gen-AFFECT_Generation_of_Avatar_Fine-grained_Facial_Expressions_with_Consistent_identiTy_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Yu_Gen-AFFECT_Generation_of_WACV_2026_supplemental.pdf | 2508.09461 | cvf | @InProceedings{Yu_2026_WACV,
author = {Yu, Hao and Mallick, Rupayan and Betke, Margrit and Bargal, Sarah Adel},
title = {Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer V... | Different forms of customized 2D avatars are widely used in gaming applications, virtual communication, education, and content creation. However, existing approaches often fail to capture fine-grained facial expressions and struggle to preserve identity across different expressions. We propose Gen-AFFECT, a novel frame... |
Patel_Distilling_Offline_Action_Detection_Models_into_Real-Time_Streaming_Models_WACV_2026_paper | Distilling Offline Action Detection Models into Real-Time Streaming Models | [
"Deep Patel",
"Yasunori Babazaki",
"Yasuto Nagase",
"Iain Melvin",
"Martin Renqiang Min"
] | https://openaccess.thecvf.com/content/WACV2026/html/Patel_Distilling_Offline_Action_Detection_Models_into_Real-Time_Streaming_Models_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Patel_Distilling_Offline_Action_Detection_Models_into_Real-Time_Streaming_Models_WACV_2026_paper.pdf | null | null | null | @InProceedings{Patel_2026_WACV,
author = {Patel, Deep and Babazaki, Yasunori and Nagase, Yasuto and Melvin, Iain and Min, Martin Renqiang},
title = {Distilling Offline Action Detection Models into Real-Time Streaming Models},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications ... | Vision Transformers (ViTs) have achieved state-of-the-art performance in offline video action detection, but their reliance on processing fixed-size clips with full spatio-temporal attention makes them computationally expensive and ill-suited for real-time streaming applications due to massive computational redundancy.... |
Chowdhury_From_Bands_to_Depth_Understanding_Bathymetry_Decisions_on_Sentinel-2_WACV_2026_paper | From Bands to Depth: Understanding Bathymetry Decisions on Sentinel-2 | [
"Satyaki Roy Chowdhury",
"Aswathnarayan Radhakrishnan",
"Hari Subramoni"
] | https://openaccess.thecvf.com/content/WACV2026/html/Chowdhury_From_Bands_to_Depth_Understanding_Bathymetry_Decisions_on_Sentinel-2_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Chowdhury_From_Bands_to_Depth_Understanding_Bathymetry_Decisions_on_Sentinel-2_WACV_2026_paper.pdf | null | 2601.12636 | cvf | @InProceedings{Chowdhury_2026_WACV,
author = {Chowdhury, Satyaki Roy and Radhakrishnan, Aswathnarayan and Subramoni, Hari},
title = {From Bands to Depth: Understanding Bathymetry Decisions on Sentinel-2},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (W... | Deploying Sentinel-2 satellite-derived bathymetry (SDB)robustly across sites remains challenging. We analyze aSwin-Transformer U-Net (Swin-BathyUNet) to understandhow it infers depth and when its predictions are trustwor-thy. A leave-one-band-out study ranks spectral importanceto the different bands consistent with sha... |
Wang_Remote_Sensing_Forestry_Similarity_Convolution_WACV_2026_paper | Remote Sensing Forestry Similarity Convolution | [
"Shikuan Wang",
"Yuangong Chen",
"Jianzhou Gong",
"Lingyi Meng",
"Mengquan Wu",
"Longxing Liu",
"Haiwei Yuan",
"Mingbin Guo"
] | https://openaccess.thecvf.com/content/WACV2026/html/Wang_Remote_Sensing_Forestry_Similarity_Convolution_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Wang_Remote_Sensing_Forestry_Similarity_Convolution_WACV_2026_paper.pdf | null | null | null | @InProceedings{Wang_2026_WACV,
author = {Wang, Shikuan and Chen, Yuangong and Gong, Jianzhou and Meng, Lingyi and Wu, Mengquan and Liu, Longxing and Yuan, Haiwei and Guo, Mingbin},
title = {Remote Sensing Forestry Similarity Convolution},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on ... | Recent advancements in convolutional neural networks (CNNs) have significantly propelled the field of remote sensing forestry mapping. However, traditional convolution operations exhibit inherent limitations in extracting complex forest features: their fixed receptive fields struggle to accommodate multi-scale forest a... |
Estepa_Conjuring_Positive_Pairs_for_Efficient_Unification_of_Representation_Learning_and_WACV_2026_paper | Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis | [
"Imanol G. Estepa",
"Jesús M. Rodríguez-de-Vera",
"Ignacio Sarasúa",
"Bhalaji Nagarajan",
"Petia Radeva"
] | https://openaccess.thecvf.com/content/WACV2026/html/Estepa_Conjuring_Positive_Pairs_for_Efficient_Unification_of_Representation_Learning_and_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Estepa_Conjuring_Positive_Pairs_for_Efficient_Unification_of_Representation_Learning_and_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Estepa_Conjuring_Positive_Pairs_WACV_2026_supplemental.pdf | 2503.15060 | title_snapshot | @InProceedings{Estepa_2026_WACV,
author = {Estepa, Imanol G. and Rodr{\'\i}guez-de-Vera, Jes\'us M. and Saras\'ua, Ignacio and Nagarajan, Bhalaji and Radeva, Petia},
title = {Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis},
booktitle = {Proceedings o... | While representation learning and generative modeling seek to understand visual data, unifying both domains remains unexplored. Recent Unified Self-Supervised Learning (SSL) methods have started to bridge the gap between both paradigms. However, they either extract information from discriminative pretrained models or r... |
Jang_Root_Completion_from_Intraoral_Scans_of_Tooth_Crowns_using_Diffusion_WACV_2026_paper | Root Completion from Intraoral Scans of Tooth Crowns using Diffusion with Patch Perturbation | [
"Yohan Jang",
"In-Seok Song",
"Seung Jun Baek"
] | https://openaccess.thecvf.com/content/WACV2026/html/Jang_Root_Completion_from_Intraoral_Scans_of_Tooth_Crowns_using_Diffusion_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Jang_Root_Completion_from_Intraoral_Scans_of_Tooth_Crowns_using_Diffusion_WACV_2026_paper.pdf | null | null | null | @InProceedings{Jang_2026_WACV,
author = {Jang, Yohan and Song, In-Seok and Baek, Seung Jun},
title = {Root Completion from Intraoral Scans of Tooth Crowns using Diffusion with Patch Perturbation},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
... | Intraoral scan (IoS) provides high-resolution data on the tooth crown, but does not contain information on the tooth root and thus has limitations in applications requiring 3D models of the whole tooth, e.g., virtual dental simulators. In this paper, we consider a diffusion-based model for root completion from IoS crow... |
Patapati_Multimodal_Graph_Representation_Learning_over_Arbitrary_Sets_of_Modalities_WACV_2026_paper | Multimodal Graph Representation Learning over Arbitrary Sets of Modalities | [
"Santosh Patapati",
"Trisanth Srinivasan"
] | https://openaccess.thecvf.com/content/WACV2026/html/Patapati_Multimodal_Graph_Representation_Learning_over_Arbitrary_Sets_of_Modalities_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Patapati_Multimodal_Graph_Representation_Learning_over_Arbitrary_Sets_of_Modalities_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Patapati_Multimodal_Graph_Representation_WACV_2026_supplemental.pdf | 2512.11901 | title_judge | @InProceedings{Patapati_2026_WACV,
author = {Patapati, Santosh and Srinivasan, Trisanth},
title = {Multimodal Graph Representation Learning over Arbitrary Sets of Modalities},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March... | We introduce CLARGA, a general-purpose multimodal fusion architecture for multimodal representation learning that works with any number and type of modalities without changing the underlying framework. Given a supervised dataset, CLARGA can be applied to virtually any machine learning task to fuse different multimodal ... |
Zheng_FlowMorph_Revealing_an_Optimizable_Flow_Latent_Space_for_Controlled_Image_WACV_2026_paper | FlowMorph: Revealing an Optimizable Flow Latent Space for Controlled Image Morphing | [
"Yan Zheng",
"Yi Yang",
"Lanqing Guo",
"Zhangyang Wang"
] | https://openaccess.thecvf.com/content/WACV2026/html/Zheng_FlowMorph_Revealing_an_Optimizable_Flow_Latent_Space_for_Controlled_Image_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Zheng_FlowMorph_Revealing_an_Optimizable_Flow_Latent_Space_for_Controlled_Image_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Zheng_FlowMorph_Revealing_an_WACV_2026_supplemental.pdf | null | null | @InProceedings{Zheng_2026_WACV,
author = {Zheng, Yan and Yang, Yi and Guo, Lanqing and Wang, Zhangyang},
title = {FlowMorph: Revealing an Optimizable Flow Latent Space for Controlled Image Morphing},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}... | We present FlowMorph, a simple and training-free framework for geometry-preserving and semantics-aware image interpolation. The key idea is to separate two factors inside the flow model's latent space: an offset that captures shape and geometry, and a one-step vector that carries semantic meaning. By keeping the flow m... |
Moradi_Crafting_Descriptive_Information_for_a_Zero-shot_Method_to_Improve_Knowledge-Based_WACV_2026_paper | Crafting Descriptive Information for a Zero-shot Method to Improve Knowledge-Based Visual Question Answering Performance | [
"Mohammad Mahdi Moradi",
"Sudhir Mudur"
] | https://openaccess.thecvf.com/content/WACV2026/html/Moradi_Crafting_Descriptive_Information_for_a_Zero-shot_Method_to_Improve_Knowledge-Based_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Moradi_Crafting_Descriptive_Information_for_a_Zero-shot_Method_to_Improve_Knowledge-Based_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Moradi_Crafting_Descriptive_Information_WACV_2026_supplemental.pdf | 2505.19354 | title_judge | @InProceedings{Moradi_2026_WACV,
author = {Moradi, Mohammad Mahdi and Mudur, Sudhir},
title = {Crafting Descriptive Information for a Zero-shot Method to Improve Knowledge-Based Visual Question Answering Performance},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Compu... | We present GC-KBVQA, a zero-shot framework for knowledge-based visual question answering (KB-VQA) that requires no additional training. GC-KBVQA leverages pre-trained models together with carefully designed, context-aware descriptive information. The framework integrates three modules--(i) question-guided visual ground... |
Pham_Boosting_Medical_Vision-Language_Pretraining_via_Momentum_Self-Distillation_under_Limited_Computing_WACV_2026_paper | Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources | [
"Phuc Pham",
"Nhu Pham",
"Ngoc Quoc Ly"
] | https://openaccess.thecvf.com/content/WACV2026/html/Pham_Boosting_Medical_Vision-Language_Pretraining_via_Momentum_Self-Distillation_under_Limited_Computing_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Pham_Boosting_Medical_Vision-Language_Pretraining_via_Momentum_Self-Distillation_under_Limited_Computing_WACV_2026_paper.pdf | null | 2512.02438 | cvf | @InProceedings{Pham_2026_WACV,
author = {Pham, Phuc and Pham, Nhu and Ly, Ngoc Quoc},
title = {Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision ... | In medical healthcare, obtaining detailed annotations is challenging, highlighting the need for robust Vision-Language Models (VLMs). Pretrained VLMs enable fine-tuning on small datasets or zero-shot inference, achieving performance comparable to task-specific models. On the one hand, contrastive learning (CL) is a key... |
Das_Uncertainty-Aware_Vision-Language_Segmentation_for_Medical_Imaging_WACV_2026_paper | Uncertainty-Aware Vision-Language Segmentation for Medical Imaging | [
"Aryan Das",
"Tanishq Rachamalla",
"Koushik Biswas",
"Swalpa Kumar Roy",
"Vinay Kumar Verma"
] | https://openaccess.thecvf.com/content/WACV2026/html/Das_Uncertainty-Aware_Vision-Language_Segmentation_for_Medical_Imaging_WACV_2026_paper.html | https://openaccess.thecvf.com/content/WACV2026/papers/Das_Uncertainty-Aware_Vision-Language_Segmentation_for_Medical_Imaging_WACV_2026_paper.pdf | https://openaccess.thecvf.com/content/WACV2026/supplemental/Das_Uncertainty-Aware_Vision-Language_Segmentation_WACV_2026_supplemental.pdf | 2602.14498 | cvf | @InProceedings{Das_2026_WACV,
author = {Das, Aryan and Rachamalla, Tanishq and Biswas, Koushik and Roy, Swalpa Kumar and Verma, Vinay Kumar},
title = {Uncertainty-Aware Vision-Language Segmentation for Medical Imaging},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Com... | Medical image segmentation is crucial for computer-aided diagnosis, surgical planning, and clinical research, requiring precise delineation of anatomical structures and pathological regions across various imaging modalities. Traditional deep learning approaches, primarily based on convolutional neural networks (CNNs) a... |
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