Hanbyul Joo

According to our database, Hanbyul Joo authored at least 39 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PEGASUS: Personalized Generative 3D Avatars with Composable Attributes.

Hyunsoo Cha, Byungjun Kim, Hanbyul Joo

CoRR, 2024

GALA: Generating Animatable Layered Assets from a Single Scan.

Taeksoo Kim, Byungjun Kim, Shunsuke Saito, Hanbyul Joo

CoRR, 2024

Zero-Shot Learning for the Primitives of 3D Affordance in General Objects.

Hyeonwoo Kim, Sookwan Han, Patrick Kwon, Hanbyul Joo

CoRR, 2024

ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions.

Jeonghwan Kim, Jisoo Kim, Jeonghyeon Na, Hanbyul Joo

CoRR, 2024

Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera.

Jiye Lee, Hanbyul Joo

CoRR, 2024

2023

NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects.

Taeksoo Kim, Shunsuke Saito, Hanbyul Joo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models.

Byungjun Kim, Patrick Kwon, Kwangho Lee, Myunggi Lee, Sookwan Han, Daesik Kim, Hanbyul Joo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images.

Sookwan Han, Hanbyul Joo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments.

Jiye Lee, Hanbyul Joo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Motion In-betweening for Physically Simulated Characters.

Deepak Gopinath, Hanbyul Joo, Jungdam Won

Proceedings of the SIGGRAPH Asia 2022 Posters, 2022

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

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, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, 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, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

Yingdong Qian, Marta Kryven, Tao Gao, Hanbyul Joo, Josh Tenenbaum

CoRR, 2021

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

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 González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, 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 Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

CoRR, 2021

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

Xiang Xu, Hanbyul Joo, Greg Mori, Manolis Savva

CoRR, 2021

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

Yu Rong, Takaaki Shiratori, Hanbyul Joo

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics.

Evonne Ng, Shiry Ginosar, Trevor Darrell, Hanbyul Joo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation.

Hanbyul Joo, Natalia Neverova, Andrea Vedaldi

Proceedings of the International Conference on 3D Vision, 2021

2020

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

Yu Rong, Takaaki Shiratori, Hanbyul Joo

CoRR, 2020

Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation.

Hanbyul Joo, Natalia Neverova, Andrea Vedaldi

CoRR, 2020

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

Benjamin Biggs, David Novotný, Sébastien Ehrhardt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

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

Proceedings of the Computer Vision - ECCV 2020, 2020

PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization.

Shunsuke Saito, Tomas Simon, Jason M. Saragih, Hanbyul Joo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions.

Evonne Ng, Donglai Xiang, Hanbyul Joo, Kristen Grauman

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Panoptic Studio: A Massively Multiview System for Social Interaction Capture.

Hanbyul Joo, Tomas Simon, Xulong Li, Hao Liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Godisart, Bart C. Nabbe, Iain A. Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Single-Network Whole-Body Pose Estimation.

Gines Hidalgo Martinez, Yaadhav Raaj, Haroon Idrees, Donglai Xiang, Hanbyul Joo, Tomas Simon, Yaser Sheikh

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Monocular Total Capture: Posing Face, Body, and Hands in the Wild.

Donglai Xiang, Hanbyul Joo, Yaser Sheikh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction.

Hanbyul Joo, Tomas Simon, Mina Cikara, Yaser Sheikh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Structure From Recurrent Motion: From Rigidity to Recurrency.

Xiu Li, Hongdong Li, Hanbyul Joo, Yebin Liu, Yaser Sheikh

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies.

Hanbyul Joo, Tomas Simon, Yaser Sheikh

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Hand Keypoint Detection in Single Images Using Multiview Bootstrapping.

Tomas Simon, Hanbyul Joo, Iain A. Matthews, Yaser Sheikh

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Panoptic Studio: A Massively Multiview System for Social Motion Capture.

Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart C. Nabbe, Iain A. Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

MAP Visibility Estimation for Large-Scale Dynamic 3D Reconstruction.

Hanbyul Joo, Hyun Soo Park, Yaser Sheikh

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012

Automatic generation system of the 3D character model for Smart TV contents production.

Seong-Jae Lim, Hanbyul Joo, JiHyung Lee, Bon-Ki Koo

Proceedings of the IEEE International Conference on Consumer Electronics, 2012

2011

Graph-based shape matching for deformable objects.

Hanbyul Joo, Yekeun Jeong, Olivier Duchenne, In-So Kweon

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2009

Non-contact terrain classification for autonomous mobile robot.

Jayoung Kim, Doo-Gyu Kim, Jonghwa Lee, Jihong Lee, Hanbyul Joo, In-So Kweon

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

Graph-based robust shape matching for robotic application.

Hanbyul Joo, Yekeun Jeong, Olivier Duchenne, Seong-Young Ko, In-So Kweon

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2007

Statistical Background Subtraction Based on the Exact Per-pixel Distributions.

Youngbae Hwang, Hanbyul Joo, Jun-Sik Kim, In-So Kweon

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007