| Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes Y Xiang, T Schmidt, V Narayanan, D Fox arXiv preprint arXiv:1711.00199, 2017 | 1037 | 2017 |
| Self-supervised visual descriptor learning for dense correspondence T Schmidt, R Newcombe, D Fox IEEE Robotics and Automation Letters 2 (2), 420-427, 2016 | 142 | 2016 |
| Deep local shapes: Learning local sdf priors for detailed 3d reconstruction R Chabra, JE Lenssen, E Ilg, T Schmidt, J Straub, S Lovegrove, ... European Conference on Computer Vision, 608-625, 2020 | 139 | 2020 |
| DART: Dense Articulated Real-Time Tracking. T Schmidt, RA Newcombe, D Fox Robotics: Science and Systems 2 (1), 1-9, 2014 | 133 | 2014 |
| Depth-based tracking with physical constraints for robot manipulation T Schmidt, K Hertkorn, R Newcombe, Z Marton, M Suppa, D Fox 2015 IEEE International Conference on Robotics and Automation (ICRA), 119-126, 2015 | 66 | 2015 |
| DART: dense articulated real-time tracking with consumer depth cameras T Schmidt, R Newcombe, D Fox Autonomous Robots 39 (3), 239-258, 2015 | 55 | 2015 |
| Frodo: From detections to 3d objects M Runz, K Li, M Tang, L Ma, C Kong, T Schmidt, I Reid, L Agapito, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 34* | 2020 |
| Neural 3d video synthesis T Li, M Slavcheva, M Zollhoefer, S Green, C Lassner, C Kim, T Schmidt, ... arXiv preprint arXiv:2103.02597, 2021 | 20 | 2021 |
| Star: Self-supervised tracking and reconstruction of rigid objects in motion with neural rendering W Yuan, Z Lv, T Schmidt, S Lovegrove Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 14 | 2021 |
| Dynamic high resolution deformable articulated tracking A Walsman, W Wan, T Schmidt, D Fox 2017 International Conference on 3D Vision (3DV), 38-47, 2017 | 10 | 2017 |
| Frodo: From detections to 3d objects M Rünz, K Li, M Tang, L Ma, C Kong, T Schmidt, I Reid, L Agapito, ... 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020 | 4 | 2020 |
| Algorithm-aware neural network based image compression for high-speed imaging R Pinkham, T Schmidt, A Berkovich 2020 IEEE International Conference on Artificial Intelligence and Virtual …, 2020 | 3 | 2020 |
| Self-directed lifelong learning for robot vision T Schmidt, D Fox Robotics Research, 109-114, 2020 | 2 | 2020 |
| Identity-Disentangled Neural Deformation Model for Dynamic Meshes B Xu, L Ma, Y Ye, T Schmidt, CD Twigg, S Lovegrove arXiv preprint arXiv:2109.15299, 2021 | 1 | 2021 |
| ERF: Explicit Radiance Field Reconstruction From Scratch S Aroudj, S Lovegrove, E Ilg, T Schmidt, M Goesele, R Newcombe arXiv preprint arXiv:2203.00051, 2022 | | 2022 |
| Dynamically programmable image sensor AS Berkovich, R Pinkham, T Schmidt US Patent App. 16/983,863, 2021 | | 2021 |
| Model-Based Self-Supervision for Fine-Grained Image Understanding T Schmidt | | 2019 |
| Four Dimensional Mapping with RGB-D Sensors and Mobile Robots T Schmidt | | 2012 |
| Feature Query Networks: Neural Surface Description for Camera Pose Refinement H Germain, D DeTone, G Pascoe, T Schmidt, D Novotny, R Newcombe, ... | | |
