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EgocentricVision

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# [Egocentric Vision](https://egocentricvision.github.io/EgocentricVision/)

> 🖥️ For a better reading experience, visit: https://egocentricvision.github.io/EgocentricVision/

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## 📜 Recent Papers from Top Conferences — CVPR 2025

A curated collection of the most relevant and impactful papers on **Egocentric Vision** from the top computer vision conferences.

We do our best to keep this list complete and up to date. If you notice a missing paper, feel free to reach out — we'd be happy to add it! 🙏

> � Looking for papers from previous years? Browse the full archive here → https://egocentricvision.github.io/EgocentricVision/ 📚

---

**Last update:** April 2026

If you’re curious about papers from past years -->  https://egocentricvision.github.io/EgocentricVision/ 📚 Happy reading!
- [Challenges and Trends in Egocentric Vision: A Survey](https://arxiv.org/abs/2503.15275) - Xiang Li, Heqian Qiu, Lanxiao Wang, Hanwen Zhang, Chenghao Qi, Linfeng Han, Huiyu Xiong, Hongliang Li,  2025.

- [Object-Shot Enhanced Grounding Network for Egocentric Video](https://openaccess.thecvf.com//content/CVPR2025/papers/Feng_Object-Shot_Enhanced_Grounding_Network_for_Egocentric_Video_CVPR_2025_paper.pdf) - Yisen Feng, Haoyu Zhang, Meng Liu, Weili Guan, Liqiang Nie, CVPR 2025. [[code]](https://github.com/Yisen-Feng/OSGNet.git) [[project page]](https://github.com/Yisen-Feng/OSGNet)

- [HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos](https://openaccess.thecvf.com//content/CVPR2025/papers/Zhang_HaWoR_World-Space_Hand_Motion_Reconstruction_from_Egocentric_Videos_CVPR_2025_paper.pdf) - Jinglei Zhang, Jiankang Deng, Chao Ma, Rolandos Alexandros Potamias, CVPR 2025. [[project page]](https://hawor-project.github.io)

- [HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos](https://openaccess.thecvf.com//content/CVPR2025/papers/Banerjee_HOT3D_Hand_and_Object_Tracking_in_3D_from_Egocentric_Multi-View_CVPR_2025_paper.pdf) - Prithviraj Banerjee, Sindi Shkodrani, Pierre Moulon, Shreyas Hampali, Shangchen Han, Fan Zhang, Linguang Zhang, Jade Fountain, Edward Miller, Selen Basol, Richard Newcombe, Robert Wang, Jakob Julian Engel, Tomas Hodan, CVPR 2025. [[project page]](facebookresearch.github.io/hot3d)

- [Sound Bridge: Associating Egocentric and Exocentric Videos via Audio Cues](https://openaccess.thecvf.com//content/CVPR2025/papers/Huang_Sound_Bridge_Associating_Egocentric_and_Exocentric_Videos_via_Audio_Cues_CVPR_2025_paper.pdf) - Sihong Huang, Jiaxin Wu, Xiaoyong Wei, Yi Cai, Dongmei Jiang, Yaowei Wang, CVPR 2025. [[code]](https://github.com/shhuangcoder/SoundBridge.git) [[project page]](https://github.com/shhuangcoder/SoundBridge)

- [Zero-Shot Temporal Interaction Localization for Egocentric Videos](https://arxiv.org/abs/2506.03662) - Erhang Zhang, Junyi Ma, Yin-Dong Zheng, Yixuan Zhou, Hesheng Wang, IROS 2025. [[code]](https://github.com/IRMVLab/EgoLoc)

- [Understanding Multi-Task Activities from Single-Task Videos](https://openaccess.thecvf.com/content/CVPR2025/papers/Shen_Understanding_Multi-Task_Activities_from_Single-Task_Videos_CVPR_2025_paper.pdf) - Yuhan Shen, Ehsan Elhamifar, CVPR 2025.

- [Empowering Large Language Models with 3D Situation Awareness](https://arxiv.org/abs/2503.23024) - Zhihao Yuan, Yibo Peng, Jinke Ren, Yinghong Liao, Yatong Han, Chun-Mei Feng, Hengshuang Zhao, Guanbin Li, Shuguang Cui, Zhen Li, CVPR 2025.

- [MLVU: Benchmarking Multi-task Long Video Understanding](https://arxiv.org/abs/2406.04264) - Junjie Zhou, Yan Shu, Bo Zhao, Boya Wu, Zhengyang Liang, Shitao Xiao, Minghao Qin, Xi Yang, Yongping Xiong, Bo Zhang, Tiejun Huang, Zheng Liu, CVPR 2025. [[code]](https://github.com/JUNJIE99/MLVU)

- [HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation](https://arxiv.org/abs/2411.18042) - Trong-Thuan Nguyen, Pha Nguyen, Jackson Cothren, Alper Yilmaz, Khoa Luu, CVPR 2025.

- [ANNEXE: Unified Analyzing, Answering, and Pixel Grounding for Egocentric Interaction](https://openaccess.thecvf.com//content/CVPR2025/papers/Su_ANNEXE_Unified_Analyzing_Answering_and_Pixel_Grounding_for_Egocentric_Interaction_CVPR_2025_paper.pdf) - Yuejiao Su, Yi Wang*, Qiongyang Hu, Chuang Yang, Lap-Pui Chau*, CVPR 2025. [[project page]](https://yuggiehk.github.io/annexe/)

- [Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos](https://openaccess.thecvf.com//content/CVPR2025/papers/Plizzari_Omnia_de_EgoTempo_Benchmarking_Temporal_Understanding_of_Multi-Modal_LLMs_in_CVPR_2025_paper.pdf) - Chiara Plizzari, Alessio Tonioni, Yongqin Xian, Achin Kulshrestha, Federico Tombari, CVPR 2025. [[code]](https://github.com/google-research-datasets/egotempo.git)

- [EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering](https://openaccess.thecvf.com//content/CVPR2025/papers/Zhou_EgoTextVQA_Towards_Egocentric_Scene-Text_Aware_Video_Question_Answering_CVPR_2025_paper.pdf) - Sheng Zhou, Junbin Xiao, Qingyun Li, Yicong Li, Xun Yang, Dan Guo, Meng Wang, Tat-Seng Chua, Angela Yao, CVPR 2025. [[code]](https://github.com/zhousheng97/EgoTextVQA.git) [[project page]](https://github.com/zhousheng97/EgoTextVQA)

- [PHGC: Procedural Heterogeneous Graph Completion for Natural Language Task Verification in Egocentric Videos](https://openaccess.thecvf.com//content/CVPR2025/papers/Jiang_PHGC_Procedural_Heterogeneous_Graph_Completion_for_Natural_Language_Task_Verification_CVPR_2025_paper.pdf) - Xun Jiang, Zhiyi Huang, Xing Xu, Jingkuan Song, Fumin Shen, Heng Tao Shen, CVPR 2025. [[code]](https://github.com/XunCHN/PHGC.git) [[project page]](https://github.com/XunCHN/PHGC)

- [ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark](https://openaccess.thecvf.com//content/CVPR2025/papers/Dang_ECBench_Can_Multi-modal_Foundation_Models_Understand_the_Egocentric_World_A_CVPR_2025_paper.pdf) - Ronghao Dang*, Yuqian Yuan*, Wenqi Zhang*, Yifei Xin, Boqiang Zhang, Long Li, Liuyi Wang, Qinyang Zeng, Xin Li, Lidong Bing, CVPR 2025. [[code]](https://github.com/Rh-Dang/ECBench.git) [[project page]](https://github.com/Rh-Dang/ECBench)

- [GA3CE: Unconstrained 3D Gaze Estimation with Gaze-Aware 3D Context Encoding](https://arxiv.org/abs/2505.10671) - Yuki Kawana, Shintaro Shiba, Quan Kong, Norimasa Kobori, CVPR 2025. [[project page]](https://woven-visionai.github.io/ga3ce-project/)

- [Gazing Into Missteps: Leveraging Eye-Gaze for Unsupervised Mistake Detection in Egocentric Videos of Skilled Human Activities](https://openaccess.thecvf.com//content/CVPR2025/papers/Mazzamuto_Gazing_Into_Missteps_Leveraging_Eye-Gaze_for_Unsupervised_Mistake_Detection_in_CVPR_2025_paper.pdf) - Michele Mazzamuto, Antonino Furnari, Yoichi Sato, Giovanni Maria Farinella, CVPR 2025.

- [Viewpoint Rosetta Stone: Unlocking Unpaired Ego-Exo Videos for View-invariant Representation Learning](https://docs.google.com/forms/d/e/1FAIpQLSesy9bTTjxoPJsw3PqAs3NMb_Fcp8_DbN0kRLBk2VQC3UK26w/formResponse) - Mi Luo, Zihui Xue, Alex Dimakis, Kristen Grauman, CVPR 2025.

- [Bootstrap Your Own Views: Masked Ego-Exo Modeling for Fine-grained View-invariant Video Representations](https://arxiv.org/abs/2503.19706) - Jungin Park, Jiyoung Lee, Kwanghoon Sohn, CVPR 2025. [[code]](https://github.com/park-jungin/byov)

- [Estimating Body and Hand Motion in an Ego-sensed World](https://arxiv.org/abs/2410.03665) - Brent Yi, Vickie Ye, Maya Zheng, Yunqi Li, Lea Müller, Georgios Pavlakos, Yi Ma, Jitendra Malik, Angjoo Kanazawa, CVPR 2025. [[project page]](https://egoallo.github.io/)

- [EgoLM: Multi-Modal Language Model of Egocentric Motions](https://openaccess.thecvf.com//content/CVPR2025/papers/Hong_EgoLM_Multi-Modal_Language_Model_of_Egocentric_Motions_CVPR_2025_paper.pdf) - Fangzhou Hong, Vladimir Guzov, Hyo Jin Kim, Yuting Ye, Richard Newcombe, Ziwei Liu, CVPR 2025. [[project page]](https://hongfz16.github.io/projects/EgoLM)

- [REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning](https://openaccess.thecvf.com//content/CVPR2025/papers/Lee_REWIND_Real-Time_Egocentric_Whole-Body_Motion_Diffusion_with_Exemplar-Based_Identity_Conditioning_CVPR_2025_paper.pdf) - Jihyun Lee, Weipeng Xu, Alexander Richard, Shih-En Wei, Shunsuke Saito, Shaojie Bai, Te-Li Wang, Minhyuk Sung, Tae-Kyun Kim, Jason Saragih, CVPR 2025. [[project page]](https://jyunlee.github.io/projects/rewind)

- [Ego4o: Egocentric Human Motion Capture and Understanding from Multi-Modal Input](https://openaccess.thecvf.com//content/CVPR2025/papers/Wang_Ego4o_Egocentric_Human_Motion_Capture_and_Understanding_from_Multi-Modal_Input_CVPR_2025_paper.pdf) - Jian Wang, Rishabh Dabral, Diogo Luvizon, Zhe Cao, Lingjie Liu, Thabo Beeler, Christian Theobalt, CVPR 2025. [[project page]](https://jianwang-mpi.github.io/ego4o)

- [FRAME: Floor-aligned Representation for Avatar Motion from Egocentric Video](https://openaccess.thecvf.com//content/CVPR2025/papers/Camiletto_FRAME_Floor-aligned_Representation_for_Avatar_Motion_from_Egocentric_Video_CVPR_2025_paper.pdf) - Andrea Boscolo Camiletto, Jian Wang, Eduardo Alvarado, Rishabh Dabral, Thabo Beeler, Marc Habermann, Christian Theobalt, CVPR 2025. [[project page]](vcai.mpi-inf.mpg.de/projects/FRAME)

- [Scene Map-based Prompt Tuning for Navigation Instruction Generation](https://openaccess.thecvf.com/content/CVPR2025/papers/Fan_Scene_Map-based_Prompt_Tuning_for_Navigation_Instruction_Generation_CVPR_2025_paper.pdf) - Sheng Fan, Zhejiang University, Rui Liu, Wenguan Wang, Yi Yang, CVPR 2025. [[code]](https://github.com/FanScy/MAPInstructor)

- [Navigation World Models](https://arxiv.org/abs/2412.03572) - Amir Bar, Gaoyue Zhou, Danny Tran, Trevor Darrell, Yann LeCun, CVPR 2025. [[project page]](https://www.amirbar.net/nwm/)

- [Generating 6DoF Object Manipulation Trajectories from Action Description in Egocentric Vision](https://openaccess.thecvf.com//content/CVPR2025/papers/Yoshida_Generating_6DoF_Object_Manipulation_Trajectories_from_Action_Description_in_Egocentric_CVPR_2025_paper.pdf) - Tomoya Yoshida, Shuhei Kurita, Taichi Nishimura, Shinsuke Mori, CVPR 2025. [[project page]](https://biscue5.github.io/egoscaler-project-page)

- [Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos](https://openaccess.thecvf.com//content/CVPR2025/papers/Tschernezki_Layered_Motion_Fusion_Lifting_Motion_Segmentation_to_3D_in_Egocentric_CVPR_2025_paper.pdf) - Vadim Tschernezki, Diane Larlus, Iro Laina, Andrea Vedaldi, CVPR 2025.

- [DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos](https://openaccess.thecvf.com//content/CVPR2025/papers/Mur-Labadia_DIV-FF_Dynamic_Image-Video_Feature_Fields_For_Environment_Understanding_in_Egocentric_CVPR_2025_paper.pdf) - Lorenzo Mur-Labadia, Josechu Guerrero, Ruben Martinez-Cantin, CVPR 2025.

- [GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control](https://arxiv.org/pdf/2412.11198) - Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Pedro M B Rezende, Yasaman Haghighi, David Brüggemann, Isinsu Katircioglu, Lin Zhang, Xiaoran Chen, Suman Saha, Marco Cannici, Elie Aljalbout, Botao Ye, Xi Wang, Aram Davtyan, Mathieu Salzmann, Davide Scaramuzza, Marc Pollefeys, Paolo Favaro, Alexandre Alahi, CVPR 2025. [[project page]](https://vita-epfl.github.io/GEM.github.io/)

- [3D-MVP: 3D Multiview Pretraining for Robotic Manipulation](https://arxiv.org/pdf/2406.18158) - Shengyi Qian, Kaichun Mo, Valts Blukis, David F. Fouhey, Dieter Fox, Ankit Goyal, CVPR 2025. [[project page]](https://jasonqsy.github.io/3DMVP/)

- [Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning](https://arxiv.org/abs/2501.05205) - Xueyi Ke, Satoshi Tsutsui, Yayun Zhang, Bihan Wen, CVPR 2025. [[project page]](https://kexueyi.github.io/webpage-discover-hidden-visual-concepts/)

- [Curriculum Learning with Infant Egocentric Videos](https://openreview.net/forum?id=zkfyOkBVpz) - Saber Sheybani, Himanshu Hansaria, Justin Newell Wood, Linda B. Smith, Zoran Tiganj, NeurIPS 2023.

- [Is `Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning](https://openaccess.thecvf.com//content/CVPR2025/papers/Jung_Is_Right_Right_Enhancing_Object_Orientation_Understanding_in_Multimodal_Large_CVPR_2025_paper.pdf) - Ji Hyeok Jung, Eun Tae Kim, Seoyeon Kim, Joo Ho Lee, Bumsoo Kim, Buru Chang, CVPR 2025. [[code]](https://github.com/jhCOR/EgoOrientBench.git) [[project page]](https://github.com/jhCOR/EgoOrientBench)

- [EgoLife](https://egolife-ai.github.io/) - EgoLife Dataset, a comprehensive 300-hour egocentric, interpersonal, multiview, and multimodal daily life dataset with intensive annotation. where six participants lived together for one week, continuously recording their daily activities - including discussions, shopping, cooking, socializing, and entertainment - using AI glasses for multimodal egocentric video capture, along with synchronized third-person-view video references. CVPR 2025. [[paper]](https://arxiv.org/abs/2503.03803) [[code]](https://github.com/EvolvingLMMs-Lab/EgoLife)

- [ROBOSPATIAL](https://chanh.ee/RoboSpatial/) - a large-scale dataset for spatial understanding in robotics, including 1M images, 5k 3D scans, and 3M annotated spatial relationships, and the pairing of 2D egocentric images with 3D scans makes it both 2D- and 3D- ready. CVPR 2025. [[paper]](https://arxiv.org/pdf/2411.16537)

- [EgoPressure: A Dataset for Hand Pressure and Pose Estimation in Egocentric Vision](yiming-zhao.github.io/EgoPressure) - egocentric dataset that is annotated with high-resolution pressure intensities at contact points and precise hand pose meshes. CVPR 2025. [[paper]](https://openaccess.thecvf.com//content/CVPR2025/papers/Zhao_EgoPressure_A_Dataset_for_Hand_Pressure_and_Pose_Estimation_in_CVPR_2025_paper.pdf)

- [HD-EPIC: A Highly-Detailed Egocentric Video Dataset] - HD-EPIC is a massive multimodal dataset featuring 41 hours of unscripted kitchen video. It tracks 69 recipes through 59K actions, 37K 3D masks, and 51K audio events, averaging a dense 263 annotations per minute. CVPR 2025. [[paper]](https://openaccess.thecvf.com//content/CVPR2025/papers/Perrett_HD-EPIC_A_Highly-Detailed_Egocentric_Video_Dataset_CVPR_2025_paper.pdf)

- [EgoBody3M] - First large-scale real-image dataset for egocentric body tracking, with a realistic VR headset configuration and diverse subjects and motions. The dataset contains 2688 sequences from 120 subjects. ECCV 2024. [[paper]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/10261_ECCV_2024_paper.php)

- [BioVL] - A novel biochemical video-andlanguage (BioVL) dataset, which consists of experimental videos, corresponding protocols, and annotations of alignment between events in the video and instructions in the protocol.  16 videos from four protocols with a total length of 1.6 hours. WICCV 2021. [[paper]](https://openaccess.thecvf.com/content/ICCV2021W/CLVL/papers/Nishimura_Egocentric_Biochemical_Video-and-Language_Dataset_ICCVW_2021_paper.pdf)

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