| AGORA: Avatars in geography optimized for regression analysis P Patel, CHP Huang, J Tesch, DT Hoffmann, S Tripathi, MJ Black Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 181 | 2021 |
| Learning to generate synthetic data via compositing S Tripathi, S Chandra, A Agrawal, A Tyagi, JM Rehg, V Chari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 142 | 2019 |
| Occluded human mesh recovery R Khirodkar, S Tripathi, K Kitani Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 66 | 2022 |
| Deep spectral-based shape features for Alzheimer’s disease classification M Shakeri, H Lombaert, S Tripathi, S Kadoury, ... Spectral and Shape Analysis in Medical Imaging: First International Workshop …, 2016 | 55 | 2016 |
| Posenet3d: Learning temporally consistent 3d human pose via knowledge distillation S Tripathi, S Ranade, A Tyagi, A Agrawal 2020 International Conference on 3D Vision (3DV), 311-321, 2020 | 53* | 2020 |
| 3D human pose estimation via intuitive physics S Tripathi, L Müller, CHP Huang, O Taheri, MJ Black, D Tzionas Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 49 | 2023 |
| MIME: Human-aware 3D scene generation H Yi, CHP Huang, S Tripathi, L Hering, J Thies, MJ Black Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 45 | 2023 |
| Emotional speech-driven animation with content-emotion disentanglement R Daněček, K Chhatre, S Tripathi, Y Wen, M Black, T Bolkart SIGGRAPH Asia 2023 Conference Papers, 1-13, 2023 | 19 | 2023 |
| Sub-cortical shape morphology and voxel-based features for Alzheimer's disease classification S Tripathi, SH Nozadi, M Shakeri, S Kadoury 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 19 | 2017 |
| BITE: Beyond priors for improved three-D dog pose estimation N Rüegg, S Tripathi, K Schindler, MJ Black, S Zuffi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
| Generation of synthetic image data for computer vision models A Tyagi, AK Agrawal, S Chandra, VUK Chari, S Tripathi, J Rehg US Patent 10,860,836, 2020 | 13 | 2020 |
| DECO: Dense estimation of 3D human-scene contact in the wild S Tripathi, A Chatterjee, JC Passy, H Yi, D Tzionas, MJ Black Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 12 | 2023 |
| Generation of synthetic image data using three-dimensional models S Tripathi, V Chari, A Tyagi, AK Agrawal, J Rehg, S Chandra US Patent 10,909,349, 2021 | 4 | 2021 |
| Peri: Part aware emotion recognition in the wild A Mittel, S Tripathi European Conference on Computer Vision, 76-92, 2022 | 2 | 2022 |
| Vision Control System for Automated Microassembly S Tripathi, DR Jain, HD Sharma | | 2019 |
| Goal-aware synthetic data generation S Tripathi, S Chandra, A Agrawal, J Rehg, A Tyagi, V Chari | | 2019 |
| C2F: Coarse-to-Fine Vision Control System for Automated Microassembly S Tripathi, DR Jain, HD Sharma Nanoscience & Nanotechnology-Asia 9 (2), [229 - 239], 2019 | | 2019 |
| Towards integrating model dynamics for sample efficient reinforcement learning A Manglik, S Tripathi | | |
| Spectral Methods V Gupta, G Prasad, P Thompson, M Shakeri, H Lombaert, S Tripathi, ... | | |
Michael J. BlackMax Planck Institute for Intelligent Systems在 tuebingen.mpg.de 的电子邮件经过验证
