| 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 | 1184 | 2017 |
| 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 | 650 | 2015 |
| 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 | 490 | 2020 |
| 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 | 456 | 2018 |
| 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 | 281 | 2019 |
| Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 204 | 2022 |
| Frankmocap: A monocular 3d whole-body pose estimation system via regression and integration Y Rong, T Shiratori, H Joo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 151* | 2021 |
| Exemplar fine-tuning for 3d human model fitting towards in-the-wild 3d human pose estimation H Joo, N Neverova, A Vedaldi 2021 International Conference on 3D Vision (3DV), 42-52, 2021 | 134 | 2021 |
| Single-network whole-body pose estimation G Hidalgo, Y Raaj, H Idrees, D Xiang, H Joo, T Simon, Y Sheikh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 84 | 2019 |
| 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 | 82 | 2014 |
| 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 Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 79 | 2020 |
| 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 | 67 | 2019 |
| Banmo: Building animatable 3d neural models from many casual videos G Yang, M Vo, N Neverova, D Ramanan, A Vedaldi, H Joo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 58 | 2022 |
| 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 | 48 | 2020 |
| 3d multi-bodies: Fitting sets of plausible 3d human models to ambiguous image data B Biggs, D Novotny, S Ehrhardt, H Joo, B Graham, A Vedaldi Advances in Neural Information Processing Systems 33, 20496-20507, 2020 | 42 | 2020 |
| Motion capture apparatus and method HB Joo, SJ Lim, JH Lee, BK Koo US Patent 8,805,024, 2014 | 41 | 2014 |
| 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 | 38 | 2014 |
| Body2hands: Learning to infer 3d hands from conversational gesture body dynamics E Ng, S Ginosar, T Darrell, H Joo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 32 | 2021 |
| OpenPose library G Hidalgo, Z Cao, T Simon, SE Wei, H Joo, Y Sheikh CMU-Perceptual-Computing-Lab A./https://github. com/CMU-Perceptual-Computing-Lab, 2017 | 26 | 2017 |
| 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 | 25 | 2018 |
