| A dual-path model with adaptive attention for vehicle re-identification P Khorramshahi, A Kumar, N Peri, SS Rambhatla, JC Chen, R Chellappa Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 257 | 2019 |
| Detecting human-object interactions via functional generalization A Bansal, SS Rambhatla, A Shrivastava, R Chellappa Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10460 …, 2020 | 113 | 2020 |
| Deep gesture: static hand gesture recognition using CNN A Mohanty, SS Rambhatla, RR Sahay Proceedings of International Conference on Computer Vision and Image …, 2017 | 69 | 2017 |
| Towards real-time systems for vehicle re-identification, multi-camera tracking, and anomaly detection N Peri, P Khorramshahi, SS Rambhatla, V Shenoy, S Rawat, JC Chen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 51 | 2020 |
| Towards discovery and attribution of open-world gan generated images S Girish, S Suri, SS Rambhatla, A Shrivastava Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 50 | 2021 |
| Emu video: Factorizing text-to-video generation by explicit image conditioning R Girdhar, M Singh, A Brown, Q Duval, S Azadi, SS Rambhatla, A Shah, ... arXiv preprint arXiv:2311.10709, 2023 | 33 | 2023 |
| Towards accurate visual and natural language-based vehicle retrieval systems P Khorramshahi, SS Rambhatla, R Chellappa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 17 | 2021 |
| The pursuit of knowledge: Discovering and localizing novel categories using dual memory SS Rambhatla, R Chellappa, A Shrivastava Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 15 | 2021 |
| Recognizing actions using object states N Saini, B He, G Shrivastava, SS Rambhatla, A Shrivastava ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022 | 12 | 2022 |
| Instancediffusion: Instance-level control for image generation X Wang, T Darrell, SS Rambhatla, R Girdhar, I Misra Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Camera based estimation of respiration rate by analyzing shape and size variation of structured light VV Makkapati, SS Rambhatla 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 8 | 2016 |
| Sparsely annotated object detection: A region-based semi-supervised approach SS Rambhatla, S Suri, R Chellappa, A Shrivastava arXiv preprint arXiv:2201.04620 7, 2022 | 6 | 2022 |
| Spatial priming for detecting human-object interactions A Bansal, SS Rambhatla, A Shrivastava, R Chellappa arXiv preprint arXiv:2004.04851, 2020 | 5 | 2020 |
| Body part alignment and temporal attention for video-based person re-identification MJ Jones, S Rambhatla Proceedings of the British Machine Vision Conference (BMVC). London: BMVA …, 2019 | 4 | 2019 |
| MOST: Multiple Object localization with Self-supervised Transformers for object discovery SS Rambhatla, I Misra, R Chellappa, A Shrivastava Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Remote monitoring of camera based respiration rate estimated by using occlusion of dot pattern VV Makkapati, SS Rambhatla 2016 IEEE International Conference on Advanced Networks and …, 2016 | 3 | 2016 |
| SelfEval: Leveraging the discriminative nature of generative models for evaluation SS Rambhatla, I Misra arXiv preprint arXiv:2311.10708, 2023 | 2 | 2023 |
| Self-denoising neural networks for few shot learning S Schwarcz, SS Rambhatla, R Chellappa arXiv preprint arXiv:2110.13386, 2021 | 2 | 2021 |
| SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining S Suri, S Rambhatla, R Chellappa, A Shrivastava Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| To boost or not to boost: on the limits of boosted neural networks SS Rambhatla, M Jones, R Chellappa arXiv preprint arXiv:2107.13600, 2021 | 1 | 2021 |
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
