Few-shot image generation via cross-domain correspondence U Ojha, Y Li, J Lu, AA Efros, YJ Lee, E Shechtman, R Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 223 | 2021 |
NAG: Network for Adversary Generation KR Mopuri, U Ojha, U Garg, RV Babu IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018, 2018 | 190 | 2018 |
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery KK Singh, U Ojha, YJ Lee IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019, 2018 | 158 | 2018 |
Mixnmatch: Multifactor disentanglement and encoding for conditional image generation Y Li, KK Singh, U Ojha, YJ Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 88 | 2020 |
Towards universal fake image detectors that generalize across generative models U Ojha, Y Li, YJ Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 76 | 2023 |
Elastic-infogan: Unsupervised disentangled representation learning in class-imbalanced data U Ojha, KK Singh, CJ Hsieh, YJ Lee Advances in neural information processing systems 33, 18063-18075, 2020 | 23 | 2020 |
Visual instruction inversion: Image editing via visual prompting T Nguyen, Y Li, U Ojha, YJ Lee arXiv preprint arXiv:2307.14331, 2023 | 19* | 2023 |
Generating furry cars: Disentangling object shape & appearance across multiple domains U Ojha, KK Singh, YJ Lee arXiv preprint arXiv:2104.02052, 2021 | 11 | 2021 |
What knowledge gets distilled in knowledge distillation? U Ojha, Y Li, AS Rajan, Y Liang, YJ Lee arXiv preprint arXiv:2205.16004, 2022 | 7 | 2022 |