| Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 2468* | 2024 |
| View synthesis by appearance flow T Zhou, S Tulsiani, W Sun, J Malik, AA Efros European conference on computer vision, 286-301, 2016 | 891 | 2016 |
| Learning category-specific mesh reconstruction from image collections A Kanazawa, S Tulsiani, AA Efros, J Malik European Conference on Computer Vision, 386-402, 2018 | 795 | 2018 |
| Multi-view supervision for single-view reconstruction via differentiable ray consistency S Tulsiani, T Zhou, AA Efros, J Malik Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 704 | 2017 |
| Viewpoints and keypoints S Tulsiani, J Malik IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, 2015 | 545 | 2015 |
| Learning category-specific deformable 3D models for object reconstruction S Tulsiani, A Kar, J Carreira, J Malik IEEE transactions on pattern analysis and machine intelligence 39 (4), 719-731, 2017 | 507* | 2017 |
| Learning Shape Abstractions by Assembling Volumetric Primitives S Tulsiani, H Su, LJ Guibas, AA Efros, J Malik Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 468 | 2017 |
| Hierarchical Surface Prediction for 3D Object Reconstruction C Häne, S Tulsiani, J Malik International Conference on 3D Vision (3DV), 2017 | 415 | 2017 |
| Autosdf: Shape priors for 3d completion, reconstruction and generation P Mittal, YC Cheng, M Singh, S Tulsiani 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022 | 395 | 2022 |
| Sparsefusion: Distilling view-conditioned diffusion for 3d reconstruction Z Zhou, S Tulsiani 2023 IEEE/CVF conference on computer vision and pattern recognition (CVPR …, 2023 | 344 | 2023 |
| Where2act: From pixels to actions for articulated 3d objects K Mo, LJ Guibas, M Mukadam, A Gupta, S Tulsiani Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 340 | 2021 |
| Roboagent: Generalization and efficiency in robot manipulation via semantic augmentations and action chunking H Bharadhwaj, J Vakil, M Sharma, A Gupta, S Tulsiani, V Kumar 2024 IEEE International Conference on Robotics and Automation (ICRA), 4788-4795, 2024 | 330 | 2024 |
| Monocular dynamic view synthesis: A reality check H Gao, R Li, S Tulsiani, B Russell, A Kanazawa Advances in Neural Information Processing Systems 35, 33768-33780, 2022 | 292 | 2022 |
| Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation H Bharadhwaj, R Mottaghi, A Gupta, S Tulsiani European Conference on Computer Vision, 2024 | 273* | 2024 |
| Multi-view consistency as supervisory signal for learning shape and pose prediction S Tulsiani, AA Efros, J Malik 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2897-2905, 2018 | 255 | 2018 |
| Gen2act: Human video generation in novel scenarios enables generalizable robot manipulation H Bharadhwaj, D Dwibedi, A Gupta, S Tulsiani, C Doersch, T Xiao, ... arXiv preprint arXiv:2409.16283, 2024 | 216 | 2024 |
| Layer-structured 3d scene inference via view synthesis S Tulsiani, R Tucker, N Snavely European Conference on Computer Vision, 311-327, 2018 | 203 | 2018 |
| Ners: Neural reflectance surfaces for sparse-view 3d reconstruction in the wild J Zhang, G Yang, S Tulsiani, D Ramanan Advances in Neural Information Processing Systems 34, 29835-29847, 2021 | 199 | 2021 |
| Cameras as Rays: Pose Estimation via Ray Diffusion JY Zhang, A Lin, M Kumar, TH Yang, D Ramanan, S Tulsiani The Twelfth International Conference on Learning Representations, 2023 | 185 | 2023 |
| Visual imitation made easy S Young, D Gandhi, S Tulsiani, A Gupta, P Abbeel, L Pinto Conference on Robot learning, 1992-2005, 2021 | 177 | 2021 |
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
