| Open x-embodiment: Robotic learning datasets and rt-x models IEEE International Conference on Robotics and Automation, 2024 | 1333* | 2024 |
| Digit: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation M Lambeta, PW Chou, S Tian, B Yang, B Maloon, VR Most, D Stroud, ... IEEE Robotics and Automation Letters 5 (3), 3838-3845, 2020 | 688 | 2020 |
| Eureka: Human-level reward design via coding large language models YJ Ma, W Liang, G Wang, DA Huang, O Bastani, D Jayaraman, Y Zhu, ... ICLR, 2024 | 642 | 2024 |
| Droid: A large-scale in-the-wild robot manipulation dataset A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ... arXiv preprint arXiv:2403.12945, 2024 | 495 | 2024 |
| More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch R Calandra, A Owens, D Jayaraman, J Lin, W Yuan, J Malik, EH Adelson, ... IROS 2018 and RAL 2018, 2018 | 488 | 2018 |
| Causal Confusion in Imitation Learning P de Haan, D Jayaraman, S Levine Neural Information Processing Systems (NeurIPS) 2019, 2019 | 472 | 2019 |
| VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training YJ Ma, S Sodhani, D Jayaraman, O Bastani, V Kumar, A Zhang ICLR, 2022 | 416 | 2022 |
| Objective quality assessment of multiply distorted images D Jayaraman, A Mittal, AK Moorthy, AC Bovik Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the …, 2012 | 402 | 2012 |
| Zero shot recognition with unreliable attributes D Jayaraman, K Grauman NIPS 2014, 2014 | 362 | 2014 |
| Learning image representations tied to ego-motion D Jayaraman, K Grauman ICCV 2015, 2015 | 336 | 2015 |
| Techniques for improved focusing of camera arrays O Nestares, K Seshadrinathan, D Jayaraman US Patent 9,743,016, 2017 | 260 | 2017 |
| Probabilistic modeling for human mesh recovery N Kolotouros, G Pavlakos, D Jayaraman, K Daniilidis Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 221 | 2021 |
| Liv: Language-image representations and rewards for robotic control YJ Ma, V Kumar, A Zhang, O Bastani, D Jayaraman International Conference on Machine Learning, 23301-23320, 2023 | 198 | 2023 |
| Slow and steady feature analysis: higher order temporal coherence in video D Jayaraman, K Grauman CVPR 2016, 2016 | 186 | 2016 |
| Decorrelating semantic visual attributes by resisting the urge to share D Jayaraman, F Sha, K Grauman CVPR 2014, 2014 | 182 | 2014 |
| Pano2Vid: Automatic cinematography for watching 360◦ videos YC Su, D Jayaraman, K Grauman ACCV 2016, 2016 | 180 | 2016 |
| Manipulation by feel: Touch-based control with deep predictive models S Tian, F Ebert, D Jayaraman, M Mudigonda, C Finn, R Calandra, ... ICRA, 2019 | 178 | 2019 |
| Learning to look around: Intelligently exploring unseen environments for unknown tasks D Jayaraman, K Grauman Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 144 | 2018 |
| An exploration of embodied visual exploration SK Ramakrishnan, D Jayaraman, K Grauman International Journal of Computer Vision 129 (5), 1616-1649, 2021 | 134 | 2021 |
| Conservative offline distributional reinforcement learning Y Ma, D Jayaraman, O Bastani Advances in neural information processing systems 34, 19235-19247, 2021 | 126 | 2021 |
Jason MaDyna RoboticsVerified email at dyna.co
