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Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion


Apr 18, 2022
Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar

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BANMo: Building Animatable 3D Neural Models from Many Casual Videos


Dec 24, 2021
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo

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* Modified Sec. 3.2 deformation model and Sec. 3.4 active sampling 

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Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics


Dec 02, 2021
Yingdong Qian, Marta Kryven, Tao Gao, Hanbyul Joo, Josh Tenenbaum

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Ego4D: Around the World in 3,000 Hours of Egocentric Video


Oct 13, 2021
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

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D3D-HOI: Dynamic 3D Human-Object Interactions from Videos


Aug 19, 2021
Xiang Xu, Hanbyul Joo, Greg Mori, Manolis Savva

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FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration


Aug 13, 2021
Yu Rong, Takaaki Shiratori, Hanbyul Joo

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* Accepted to ICCV 2021 Workshops on Assistive Computer Vision and Robotics. An updated version of https://arxiv.org/abs/2008.08324. Code, models and demo videos are available at:https://github.com/facebookresearch/frankmocap 

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3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data


Nov 02, 2020
Benjamin Biggs, Sébastien Ehrhadt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotny

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* NeurIPS 2020 Spotlight; 14 pages including supplementary 

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Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild


Aug 19, 2020
Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa

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* In ECCV 2020. v2: Updated Related Work 

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FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration


Aug 19, 2020
Yu Rong, Takaaki Shiratori, Hanbyul Joo

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* Demo, Code and Models are available at https://penincillin.github.io/frank_mocap 

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