Hanbyul Joo
Hanbyul Joo
Research Scientist, Facebook AI Research
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
Hand keypoint detection in single images using multiview bootstrapping
T Simon, H Joo, I Matthews, Y Sheikh
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2017
7662017
Total capture: A 3d deformation model for tracking faces, hands, and bodies
H Joo, T Simon, Y Sheikh
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2742018
Panoptic studio: A massively multiview system for social motion capture
H Joo, H Liu, L Tan, L Gui, B Nabbe, I Matthews, T Kanade, S Nobuhara, ...
Proceedings of the IEEE International Conference on Computer Vision, 3334-3342, 2015
2222015
Panoptic studio: A massively multiview system for social interaction capture
H Joo, T Simon, X Li, H Liu, L Tan, L Gui, S Banerjee, T Godisart, B Nabbe, ...
IEEE transactions on pattern analysis and machine intelligence 41 (1), 190-204, 2017
1882017
Monocular total capture: Posing face, body, and hands in the wild
D Xiang, H Joo, Y Sheikh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1802019
Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization
S Saito, T Simon, J Saragih, H Joo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1352020
Method and apparatus for capturing motion of dynamic object
HW Kim, SJ Lim, HB Joo, H Kang, BK Koo, CW Chu
US Patent 8,659,594, 2014
672014
Motion capture apparatus and method
HB Joo, SJ Lim, JH Lee, BK Koo
US Patent 8,805,024, 2014
342014
Single-network whole-body pose estimation
GH Martinez, Y Raaj, H Idrees, D Xiang, H Joo, T Simon, Y Sheikh
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 6981-6990, 2019
32*2019
Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation
H Joo, N Neverova, A Vedaldi
arXiv preprint arXiv:2004.03686, 2020
302020
Towards social artificial intelligence: Nonverbal social signal prediction in a triadic interaction
H Joo, T Simon, M Cikara, Y Sheikh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
302019
MAP Visibility Estimation for Large-Scale Dynamic 3D Reconstruction
H Joo, H Park, Y Sheikh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
282014
FrankMocap: Fast monocular 3D hand and body motion capture by regression and integration
Y Rong, T Shiratori, H Joo
arXiv preprint arXiv:2008.08324, 2020
242020
Perceiving 3d human-object spatial arrangements from a single image in the wild
JY Zhang, S Pepose, H Joo, D Ramanan, J Malik, A Kanazawa
European Conference on Computer Vision, 34-51, 2020
232020
Structure from recurrent motion: From rigidity to recurrency
X Li, H Li, H Joo, Y Liu, Y Sheikh
Proceedings of the IEEE conference on computer vision and pattern …, 2018
192018
OpenPose library
G Hidalgo, Z Cao, T Simon, SE Wei, H Joo, Y Sheikh
182017
You2me: Inferring body pose in egocentric video via first and second person interactions
E Ng, D Xiang, H Joo, K Grauman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
152020
Graph-based robust shape matching for robotic application
H Joo, Y Jeong, O Duchenne, SY Ko, IS Kweon
2009 IEEE International Conference on Robotics and Automation, 1207-1213, 2009
142009
Non-contact terrain classification for autonomous mobile robot
J Kim, D Kim, J Lee, J Lee, H Joo, IS Kweon
2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 824-829, 2009
132009
3d multi-bodies: Fitting sets of plausible 3d human models to ambiguous image data
B Biggs, S Ehrhadt, H Joo, B Graham, A Vedaldi, D Novotny
arXiv preprint arXiv:2011.00980, 2020
112020
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Articles 1–20