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 | 234 | 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 | 196 | 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 | 164 | 2018 |
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 | 102 | 2023 |
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 | 90 | 2020 |
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 | 22 | 2020 |
Visual instruction inversion: Image editing via image prompting T Nguyen, Y Li, U Ojha, YJ Lee Advances in Neural Information Processing Systems 36, 2024 | 19 | 2024 |
Generating furry cars: Disentangling object shape & appearance across multiple domains U Ojha, KK Singh, YJ Lee arXiv preprint arXiv:2104.02052, 2021 | 12 | 2021 |
What knowledge gets distilled in knowledge distillation? U Ojha, Y Li, AS Rajan, Y Liang, YJ Lee arXiv preprint arXiv:2205.16004, 2022 | 9 | 2022 |