| 2025 | ICLR | Aligned Datasets Improve Detection of Latent Diffusion-Generated Images. | Anirudh Sundara Rajan, Utkarsh Ojha, Jedidiah Schloesser, Yong Jae Lee |
| 2025 | WACV | An Investigation on LLMs' Visual Understanding Ability Using SVG for Image-Text Bridging. | Mu Cai, Zeyi Huang, Yuheng Li, Utkarsh Ojha, Haohan Wang, Yong Jae Lee |
| 2024 | CVPR | Edit One for All: Interactive Batch Image Editing. | Thao Nguyen, Utkarsh Ojha, Yuheng Li, Haotian Liu, Yong Jae Lee |
| 2023 | CVPR | Towards Universal Fake Image Detectors that Generalize Across Generative Models. | Utkarsh Ojha, Yuheng Li, Yong Jae Lee |
| 2021 | CVPR | Few-Shot Image Generation via Cross-Domain Correspondence. | Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang |
| 2021 | ICLR | Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. | Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee |
| 2020 | CVPR | MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. | Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee |
| 2019 | CVPR | FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. | Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee |
| 2018 | CVPR | NAG: Network for Adversary Generation. | Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu |
| 2016 | ICMLA | Denoising High Resolution Multispectral Images Using Deep Learning Approach. | Utkarsh Ojha, Ankur Garg |