Utkarsh Ojha

27 papers A* 12A 1C 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 A* conf
Aligned Datasets Improve Detection of Latent Diffusion-Generated Images.
ICLR
Anirudh Sundara Rajan, Utkarsh Ojha, Jedidiah Schloesser, Yong Jae Lee
2025 A conf
An Investigation on LLMs' Visual Understanding Ability Using SVG for Image-Text Bridging.
WACV
Mu Cai, Zeyi Huang, Yuheng Li, Utkarsh Ojha, Haohan Wang, Yong Jae Lee
2025 J jnl
Do Vision Models Develop Human-Like Progressive Difficulty Understanding?
CoRR
Zeyi Huang, Utkarsh Ojha, Yuyang Ji, Donghyun Lee, Yong Jae Lee
2024 A* conf
Edit One for All: Interactive Batch Image Editing.
CVPR
Thao Nguyen, Utkarsh Ojha, Yuheng Li, Haotian Liu, Yong Jae Lee
2024 J jnl
Edit One for All: Interactive Batch Image Editing.
CoRR
Thao Nguyen, Utkarsh Ojha, Yuheng Li, Haotian Liu, Yong Jae Lee
2024 J jnl
On the Effectiveness of Dataset Alignment for Fake Image Detection.
CoRR
Anirudh Sundara Rajan, Utkarsh Ojha, Jedidiah Schloesser, Yong Jae Lee
2024 A* conf
Yo'LLaVA: Your Personalized Language and Vision Assistant.
NeurIPS
Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee
2024 J jnl
Yo'LLaVA: Your Personalized Language and Vision Assistant.
CoRR
Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee
2023 A* conf
Towards Universal Fake Image Detectors that Generalize Across Generative Models.
CVPR
Utkarsh Ojha, Yuheng Li, Yong Jae Lee
2023 J jnl
Towards Universal Fake Image Detectors that Generalize Across Generative Models.
CoRR
Utkarsh Ojha, Yuheng Li, Yong Jae Lee
2023 A* conf
Visual Instruction Inversion: Image Editing via Image Prompting.
NeurIPS
Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee
2023 J jnl
Visual Instruction Inversion: Image Editing via Visual Prompting.
CoRR
Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee
2023 A* conf
What Knowledge Gets Distilled in Knowledge Distillation?
NeurIPS
Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee
2022 J jnl
What Knowledge Gets Distilled in Knowledge Distillation?
CoRR
Utkarsh Ojha, Yuheng Li, Yong Jae Lee
2021 A* conf
Few-Shot Image Generation via Cross-Domain Correspondence.
CVPR
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
2021 J jnl
Few-shot Image Generation via Cross-domain Correspondence.
CoRR
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
2021 J jnl
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains.
CoRR
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
2021 A* conf
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains.
ICLR
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
2020 A* conf
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data.
NeurIPS
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
2020 A* conf
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation.
CVPR
Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2019 J jnl
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data.
CoRR
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
2019 A* conf
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery.
CVPR
Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2019 J jnl
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation.
CoRR
Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2018 J jnl
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery.
CoRR
Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2018 A* conf
NAG: Network for Adversary Generation.
CVPR
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu
2017 J jnl
NAG: Network for Adversary Generation.
CoRR
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu
2016 C conf
Denoising High Resolution Multispectral Images Using Deep Learning Approach.
ICMLA
Utkarsh Ojha, Ankur Garg