Utkarsh Ojha

According to our database, Utkarsh Ojha authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Effectiveness of Dataset Alignment for Fake Image Detection.

Anirudh Sundara Rajan, Utkarsh Ojha, Jedidiah Schloesser, Yong Jae Lee

CoRR, 2024

Yo'LLaVA: Your Personalized Language and Vision Assistant.

Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee

CoRR, 2024

Edit One for All: Interactive Batch Image Editing.

Thao Nguyen, Utkarsh Ojha, Yuheng Li, Haotian Liu, Yong Jae Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Visual Instruction Inversion: Image Editing via Visual Prompting.

Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee

CoRR, 2023

What Knowledge Gets Distilled in Knowledge Distillation?

Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Visual Instruction Inversion: Image Editing via Image Prompting.

Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Universal Fake Image Detectors that Generalize Across Generative Models.

Utkarsh Ojha, Yuheng Li, Yong Jae Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

What Knowledge Gets Distilled in Knowledge Distillation?

Utkarsh Ojha, Yuheng Li, Yong Jae Lee

CoRR, 2022

2021

Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains.

Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee

CoRR, 2021

Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains.

Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee

Proceedings of the 9th International Conference on Learning Representations, 2021

Few-Shot Image Generation via Cross-Domain Correspondence.

Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data.

Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation.

Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data.

Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee

CoRR, 2019

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery.

Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

NAG: Network for Adversary Generation.

Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Denoising High Resolution Multispectral Images Using Deep Learning Approach.

Utkarsh Ojha, Ankur Garg

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016