| Deep local shapes: Learning local sdf priors for detailed 3d reconstruction R Chabra, JE Lenssen, E Ilg, T Schmidt, J Straub, S Lovegrove, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 465 | 2020 |
| Stereodrnet: Dilated residual stereonet R Chabra, J Straub, C Sweeney, R Newcombe, H Fuchs Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 112 | 2019 |
| Interactive and adaptive data-driven crowd simulation S Kim, A Bera, A Best, R Chabra, D Manocha 2016 IEEE Virtual Reality (VR), 29-38, 2016 | 61 | 2016 |
| Towards fully mobile 3D face, body, and environment capture using only head-worn cameras YW Cha, T Price, Z Wei, X Lu, N Rewkowski, R Chabra, Z Qin, H Kim, ... IEEE transactions on visualization and computer graphics 24 (11), 2993-3004, 2018 | 43 | 2018 |
| Self-supervised neural articulated shape and appearance models F Wei, R Chabra, L Ma, C Lassner, M Zollhöfer, S Rusinkiewicz, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 30 | 2022 |
| Immersive learning experiences for surgical procedures YW Cha, M Dou, R Chabra, F Menozzi, E Wallen, H Fuchs Medicine Meets Virtual Reality 22, 55-62, 2016 | 10 | 2016 |
| Optimizing placement of commodity depth cameras for known 3D dynamic scene capture R Chabra, A Ilie, N Rewkowski, YW Cha, H Fuchs 2017 IEEE Virtual Reality (VR), 157-166, 2017 | 8 | 2017 |
| Interactive and adaptive data-driven crowd simulation, 2016 IEEE Virtual Reality (VR) S Kim, A Bera, A Best, R Chabra, D Manocha IEEE, 29ś38, 2016 | 6 | 2016 |
| Improving 3D Reconstruction Using Deep Learning Priors R Chabra The University of North Carolina at Chapel Hill, 2020 | | 2020 |
