| Why M heads are better than one: Training a diverse ensemble of deep networks S Lee, S Purushwalkam, M Cogswell, D Crandall, D Batra arXiv preprint arXiv:1511.06314, 2015 | 219 | 2015 |
| Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles S Lee, S Purushwalkam, M Cogswell, V Ranjan, D Crandall, D Batra Advances In Neural Information Processing Systems, 2119-2127, 2016 | 154 | 2016 |
| Demystifying contrastive self-supervised learning: Invariances, augmentations and dataset biases S Purushwalkam, A Gupta Advances in Neural Information Processing Systems 33, 3407-3418, 2020 | 106 | 2020 |
| Task-driven modular networks for zero-shot compositional learning S Purushwalkam, M Nickel, A Gupta, MA Ranzato Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 76 | 2019 |
| Applying machine learning to identify autistic adults using imitation: An exploratory study B Li, A Sharma, J Meng, S Purushwalkam, E Gowen PloS one 12 (8), e0182652, 2017 | 58 | 2017 |
| Combining the best of graphical models and convnets for semantic segmentation M Cogswell, X Lin, S Purushwalkam, D Batra arXiv preprint arXiv:1412.4313, 2014 | 22 | 2014 |
| Pose from action: Unsupervised learning of pose features based on motion S Purushwalkam, A Gupta arXiv preprint arXiv:1609.05420, 2016 | 21 | 2016 |
| Bounce and learn: Modeling scene dynamics with real-world bounces S Purushwalkam, A Gupta, DM Kaufman, B Russell arXiv preprint arXiv:1904.06827, 2019 | 19 | 2019 |
| Audio-visual floorplan reconstruction S Purushwalkam, SVA Gari, VK Ithapu, C Schissler, P Robinson, A Gupta, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 13 | 2021 |
| The unsurprising effectiveness of pre-trained vision models for control S Parisi, A Rajeswaran, S Purushwalkam, A Gupta arXiv preprint arXiv:2203.03580, 2022 | 9 | 2022 |
| Aligning videos in space and time S Purushwalkam, T Ye, S Gupta, A Gupta European Conference on Computer Vision, 262-278, 2020 | 9 | 2020 |
| Automatic segmentation of adipose tissue from thigh magnetic resonance images S Purushwalkam, B Li, Q Meng, J McPhee International Conference Image Analysis and Recognition, 451-458, 2013 | 5 | 2013 |
| The functional correspondence problem Z Lai, S Purushwalkam, A Gupta Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 2 | 2021 |
| The Challenges of Continuous Self-Supervised Learning S Purushwalkam, P Morgado, A Gupta arXiv preprint arXiv:2203.12710, 2022 | 1 | 2022 |
| Leveraging Inexpensive Supervision Signals for Visual Learning SPS Prakash Carnegie Mellon University Pittsburgh, 2017 | | 2017 |
| Audio-Visual Floorplan Reconstruction Supplementary Material S Purushwalkam, SVA Gari, VK Ithapu, C Schissler, P Robinson, A Gupta, ... | | |
| Publication Submission Form S Purushwalkam, A Gupta, D Kaufman, B Russell, R Girdhar, D Ramanan, ... | | |
| Unsupervised learning by completing partially occluded CAD renderings S Purushwalkam, P Sodhi | | |
| Dropout Training for Hidden Unit CRFs S Purushwalkam, A Vemula, V Joshi Robotics Institute, 0 | | |
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityE-mailová adresa ověřena na: cs.cmu.edu
