Denoising High Resolution Multispectral Images Using Deep Learning Approach. - Utkarsh Ojha; Ankur Garg (ICMLA, 2016)

NAG: Network for Adversary Generation. - Konda Reddy Mopuri; Utkarsh Ojha; Utsav Garg; R. Venkatesh Babu (CVPR, 2018)

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. - Krishna Kumar Singh; Utkarsh Ojha; Yong Jae Lee (CVPR, 2019)

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data. - Utkarsh Ojha; Krishna Kumar Singh; Cho-Jui Hsieh; Yong Jae Lee (CoRR, 2019)

MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. - Yuheng Li; Krishna Kumar Singh; Utkarsh Ojha; Yong Jae Lee (CVPR, 2020)

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data. - Utkarsh Ojha; Krishna Kumar Singh; Cho-Jui Hsieh; Yong Jae Lee (NeurIPS, 2020)

Few-Shot Image Generation via Cross-Domain Correspondence. - Utkarsh Ojha; Yijun Li 001; Jingwan Lu; Alexei A. Efros; Yong Jae Lee; Eli Shechtman; Richard Zhang 001 (CVPR, 2021)

Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. - Utkarsh Ojha; Krishna Kumar Singh; Yong Jae Lee (ICLR, 2021)

Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains. - Utkarsh Ojha; Krishna Kumar Singh; Yong Jae Lee (CoRR, 2021)

What Knowledge Gets Distilled in Knowledge Distillation? - Utkarsh Ojha; Yuheng Li; Yong Jae Lee (CoRR, 2022)

Towards Universal Fake Image Detectors that Generalize Across Generative Models. - Utkarsh Ojha; Yuheng Li; Yong Jae Lee (CVPR, 2023)

Visual Instruction Inversion: Image Editing via Image Prompting. - Thao Nguyen; Yuheng Li; Utkarsh Ojha; Yong Jae Lee (NeurIPS, 2023)

What Knowledge Gets Distilled in Knowledge Distillation? - Utkarsh Ojha; Yuheng Li; Anirudh Sundara Rajan; Yingyu Liang; Yong Jae Lee (NeurIPS, 2023)

Visual Instruction Inversion: Image Editing via Visual Prompting. - Thao Nguyen; Yuheng Li; Utkarsh Ojha; Yong Jae Lee (CoRR, 2023)

Edit One for All: Interactive Batch Image Editing. - Thao Nguyen; Utkarsh Ojha; Yuheng Li; Haotian Liu; Yong Jae Lee (CVPR, 2024)

Yo'LLaVA: Your Personalized Language and Vision Assistant. - Thao Nguyen; Haotian Liu; Yuheng Li; Mu Cai; Utkarsh Ojha; Yong Jae Lee (NeurIPS, 2024)

On the Effectiveness of Dataset Alignment for Fake Image Detection. - Anirudh Sundara Rajan; Utkarsh Ojha; Jedidiah Schloesser; Yong Jae Lee (CoRR, 2024)

Aligned Datasets Improve Detection of Latent Diffusion-Generated Images. - Anirudh Sundara Rajan; Utkarsh Ojha; Jedidiah Schloesser; Yong Jae Lee (ICLR, 2025)

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 (WACV, 2025)

Do Vision Models Develop Human-Like Progressive Difficulty Understanding? - Zeyi Huang; Utkarsh Ojha; Yuyang Ji; Donghyun Lee 004; Yong Jae Lee (CoRR, 2025)