| Generate To Adapt: Aligning Domains using Generative Adversarial Networks S Sankaranarayanan, Y Balaji, CD Castillo, R Chellappa CVPR 2018, 2017 | 815 | 2017 |
| Metareg: Towards domain generalization using meta-regularization Y Balaji, S Sankaranarayanan, R Chellappa Advances in neural information processing systems 31, 2018 | 781 | 2018 |
| ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers Y Balaji, S Nah, X Huang, A Vahdat, J Song, Q Zhang, K Kreis, M Aittala, ... arXiv preprint arXiv:2211.01324, 2022 | 684 | 2022 |
| Learning from synthetic data: Addressing domain shift for semantic segmentation S Sankaranarayanan, Y Balaji, A Jain, SN Lim, R Chellappa Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 640* | 2018 |
| Learning to balance specificity and invariance for in and out of domain generalization P Chattopadhyay, Y Balaji, J Hoffman Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 221 | 2020 |
| Preserve your own correlation: A noise prior for video diffusion models S Ge, S Nah, G Liu, T Poon, A Tao, B Catanzaro, D Jacobs, JB Huang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 202 | 2023 |
| Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Y Balaji, T Goldstein, J Hoffman arXiv preprint arXiv:1910.08051, 2019 | 142 | 2019 |
| Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. Y Balaji, MR Min, B Bai, R Chellappa, HP Graf IJCAI 1 (2019), 2, 2019 | 138 | 2019 |
| Curriculum manager for source selection in multi-source domain adaptation L Yang, Y Balaji, SN Lim, A Shrivastava Computer vision–ECCV 2020: 16th European conference, Glasgow, UK, August 23 …, 2020 | 134 | 2020 |
| Robust optimal transport with applications in generative modeling and domain adaptation Y Balaji, R Chellappa, S Feizi Advances in Neural Information Processing Systems 33, 12934-12944, 2020 | 110 | 2020 |
| Unrolling the shutter: Cnn to correct motion distortions V Rengarajan, Y Balaji, AN Rajagopalan Proceedings of the IEEE Conference on computer Vision and Pattern …, 2017 | 81 | 2017 |
| Normalized wasserstein for mixture distributions with applications in adversarial learning and domain adaptation Y Balaji, R Chellappa, S Feizi Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 58* | 2019 |
| A comprehensive study of image classification model sensitivity to foregrounds, backgrounds, and visual attributes M Moayeri, P Pope, Y Balaji, S Feizi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 55 | 2022 |
| Winning lottery tickets in deep generative models NM Kalibhat, Y Balaji, S Feizi Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8038-8046, 2021 | 36 | 2021 |
| Understanding overparameterization in generative adversarial networks Y Balaji, M Sajedi, NM Kalibhat, M Ding, D Stöger, M Soltanolkotabi, ... arXiv preprint arXiv:2104.05605, 2021 | 35 | 2021 |
| The effectiveness of memory replay in large scale continual learning Y Balaji, M Farajtabar, D Yin, A Mott, A Li arXiv preprint arXiv:2010.02418, 2020 | 34 | 2020 |
| Entropic gans meet vaes: A statistical approach to compute sample likelihoods in gans Y Balaji, H Hassani, R Chellappa, S Feizi International Conference on Machine Learning, 414-423, 2019 | 25 | 2019 |
| Unsupervised anomaly detection with adversarial mirrored autoencoders G Somepalli, Y Wu, Y Balaji, B Vinzamuri, S Feizi Uncertainty in Artificial Intelligence, 365-375, 2021 | 18* | 2021 |
| Adversarial robustness of flow-based generative models P Pope, Y Balaji, S Feizi International Conference on Artificial Intelligence and Statistics, 3795-3805, 2020 | 18 | 2020 |
| Invert and defend: Model-based approximate inversion of generative adversarial networks for secure inference WA Lin, Y Balaji, P Samangouei, R Chellappa arXiv preprint arXiv:1911.10291, 2019 | 14 | 2019 |
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
