| Float: Factorized learning of object attributes for improved multi-object multi-part scene parsing R Singh, P Gupta, P Shenoy, R Sarvadevabhatla Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? G Bhatt, H Bansal, R Singh, S Agarwal arXiv preprint arXiv:2005.08199, 2020 | 8 | 2020 |
| Edges to shapes to concepts: adversarial augmentation for robust vision A Tripathi, R Singh, A Chakraborty, P Shenoy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Solving Vision Tasks with Simple Photoreceptors Instead of Cameras A Atanov, J Fu, R Singh, I Yu, A Spielberg, A Zamir arXiv preprint arXiv:2406.11769, 2024 | 1 | 2024 |
| Robustifying Deep Vision Models Through Shape Sensitization A Tripathi, R Singh, A Chakraborty, P Shenoy arXiv preprint arXiv:2211.07277, 2022 | | 2022 |
| Photoluminescence studies on carbon nitride based heterojunctions for photocatalytic hydrogen generation applications RV Singh, MR Pai, AM Banerjee, AK Tripathi Proceedings of the sixteenth DAE-BRNS biennial Trombay symposium on …, 2022 | | 2022 |
| Factorize and Zoom-A Model Agnostic Framework for Improved Object-part Scene Segmentation R Singh, P Gupta, P Shenoy, RK Sarvadevabhatla | | |
Pradeep ShenoyUniversity of Washington, University of California, San Diego, Microsoft, Google Research在 cs.washington.edu 的电子邮件经过验证
