| Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection D Dwibedi, I Misra, M Hebert ICCV 2017, 2017 | 504 | 2017 |
| Temporal cycle-consistency learning D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 206 | 2019 |
| Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning I Kostrikov, KK Agrawal, D Dwibedi, S Levine, J Tompson https://arxiv.org/abs/1809.02925, 2018 | 187 | 2018 |
| With a little help from my friends: Nearest-neighbor contrastive learning of visual representations D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 157 | 2021 |
| Deep cuboid detection: Beyond 2d bounding boxes D Dwibedi, T Malisiewicz, V Badrinarayanan, A Rabinovich arXiv preprint arXiv:1611.10010, 2016 | 100* | 2016 |
| Learning actionable representations from visual observations D Dwibedi, J Tompson, C Lynch, P Sermanet 2018 IEEE/RSJ international conference on intelligent robots and systems …, 2018 | 75 | 2018 |
| Counting out time: Class agnostic video repetition counting in the wild D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 50 | 2020 |
| Temporal reasoning in videos using convolutional gated recurrent units D Dwibedi, P Sermanet, J Tompson Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 28 | 2018 |
| Xirl: Cross-embodiment inverse reinforcement learning K Zakka, A Zeng, P Florence, J Tompson, J Bohg, D Dwibedi Conference on Robot Learning, 537-546, 2022 | 22 | 2022 |
| Deep learning system for cuboid detection TJ Malisiewicz, A Rabinovich, V Badrinarayanan, D Dwibedi US Patent 10,937,188, 2021 | 5 | 2021 |
| Playing Games with Deep Reinforcement Learning D Dwibedi, A Vemula Master’s thesis. See also URL https://debidatta. github. io/assets …, 2020 | 2 | 2020 |
| Visuomotor control in multi-object scenes using object-aware representations N Heravi, A Wahid, C Lynch, P Florence, T Armstrong, J Tompson, ... arXiv preprint arXiv:2205.06333, 2022 | 1 | 2022 |
| Deep learning system for cuboid detection TJ Malisiewicz, A Rabinovich, V Badrinarayanan, D Dwibedi US Patent 11,328,443, 2022 | 1 | 2022 |
| An Analysis of Object Representations in Deep Visual Trackers R Goroshin, J Tompson, D Dwibedi arXiv preprint arXiv:2001.02593, 2020 | 1 | 2020 |
| Towards Pose Estimation of 3D Objects in Monocular Images via Keypoint Detection D Dwibedi | 1 | 2018 |
| Self-Supervised Representation Learning for Continuous Control D DwibediR, J Tompson, C LynchR, P Sermanet | 1 | 2018 |
| Deep learning system for cuboid detection TJ Malisiewicz, A Rabinovich, V Badrinarayanan, D Dwibedi US Patent App. 17/717,696, 2022 | | 2022 |
| Aligning sequences by generating encoded representations of data items Y Aytar, D Dwibedi, A Zisserman, J Tompson, P Sermanet US Patent App. 17/295,286, 2022 | | 2022 |
| Counting Out Time: Class Agnostic Video Periodicity in the Wild D Dwibedi, Y Aytar, JJR Tompson, P Sermanet, A Zisserman | | 2020 |
| Synthesizing Scenes for Instance Detection D Dwibedi Carnegie Mellon University Pittsburgh, 2017 | | 2017 |
Jonathan TompsonGoogleVerified email at google.com
