Yogesh Balaji

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Source Selection

Diffusion Models

Unsupervised Anomaly Detection

Domain Adaptation

Top Venues

Publications

Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, Yogesh Balaji
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation. CoRR (2024)
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. CoRR (2023)
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. ICCV (2023)
Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CVPR (2022)
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers. CoRR (2022)
Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CoRR (2022)
Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
Understanding Overparameterization in Generative Adversarial Networks. CoRR (2021)
Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
Understanding Over-parameterization in Generative Adversarial Networks. ICLR (2021)
Gowthami Somepalli, Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi
Unsupervised anomaly detection with adversarial mirrored autoencoders. UAI (2021)
Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi
Winning Lottery Tickets in Deep Generative Models. AAAI (2021)
Phillip Pope, Yogesh Balaji, Soheil Feizi
Adversarial Robustness of Flow-Based Generative Models. AISTATS (2020)
Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. ECCV (9) (2020)
Yogesh Balaji, Rama Chellappa, Soheil Feizi
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. CoRR (2020)
Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. CoRR (2020)
Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi
Winning Lottery Tickets in Deep Generative Models. CoRR (2020)
Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi
Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection. CoRR (2020)
Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li
The Effectiveness of Memory Replay in Large Scale Continual Learning. CoRR (2020)
Yogesh Balaji, Rama Chellappa, Soheil Feizi
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. NeurIPS (2020)
Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava
Curriculum Manager for Source Selection in Multi-source Domain Adaptation. ECCV (14) (2020)
Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation. CoRR (2020)
Yogesh Balaji, Rama Chellappa, Soheil Feizi
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation. ICCV (2019)
Wei-An Lin, Yogesh Balaji, Pouya Samangouei, Rama Chellappa
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference. CoRR (2019)
Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf
Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. IJCAI (2019)
Yogesh Balaji, Rama Chellappa, Soheil Feizi
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation. CoRR (2019)
Yogesh Balaji, Tom Goldstein, Judy Hoffman
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets. CoRR (2019)
Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. ICML (2019)
Phillip Pope, Yogesh Balaji, Soheil Feizi
Adversarial Robustness of Flow-Based Generative Models. CoRR (2019)
Yogesh Balaji, Swami Sankaranarayanan, Rama Chellappa
MetaReg: Towards Domain Generalization using Meta-Regularization. NeurIPS (2018)
Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser-Nam Lim, Rama Chellappa
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation. CVPR (2018)
Swami Sankaranarayanan, Yogesh Balaji, Carlos Domingo Castillo, Rama Chellappa
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks. CVPR (2018)
Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. CoRR (2018)
Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser-Nam Lim, Rama Chellappa
Unsupervised Domain Adaptation for Semantic Segmentation with GANs. CoRR (2017)
Vijay Rengarajan, Yogesh Balaji, A. N. Rajagopalan
Unrolling the Shutter: CNN to Correct Motion Distortions. CVPR (2017)
Swami Sankaranarayanan, Yogesh Balaji, Carlos Domingo Castillo, Rama Chellappa
Generate To Adapt: Aligning Domains using Generative Adversarial Networks. CoRR (2017)
Abhijith Punnappurath, Yogesh Balaji, Mahesh Mohan M. R., Ambasamudram Narayanan Rajagopalan
Deep Decoupling of Defocus and Motion Blur for Dynamic Segmentation. ECCV (7) (2016)