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← Authors

Yogesh Balaji

19 papers · 2017–2025 · 10 conferences · across top CS/AI conferences

Achievements

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Conferences

CVPR (6) ECCV (2) ICCV (2) ICML (2) NIPS (2) AAAI (1) AISTATS (1) ICLR (1) IJCAI (1) UAI (1)

Top co-authors

Soheil Feizi (8) Rama Chellappa (7) Ming-Yu Liu (4) Swami Sankaranarayanan (3) Neha Mukund Kalibhat (2) Yu Zeng (2) Phillip Pope (2) Songwei Ge (2) Andrew Z. Wang (1) Vishal M. Patel (1)

Keywords

generative adversarial network (7) domain adaptation (4) wasserstein distance (3) transfer learning (2) video generation (2) text-to-image generation (2) maximum likelihood (2) feature embedding (2) variational autoencoder (2) generative model (2) adversarial training (2) contrastive learning (1) variational inference (1) image restoration (1) image classification (1) unsupervised learning (1) domain generalization (1) personalized generation (1) adversarial robustness (1) lottery ticket hypothesis (1)

Papers

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation ICML 2025 A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation CVPR 2025 JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation CVPR 2024 Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models ICCV 2023 A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes CVPR 2022 Unsupervised anomaly detection with adversarial mirrored autoencoders UAI 2021 Winning Lottery Tickets in Deep Generative Models AAAI 2021 Understanding Over-parameterization in Generative Adversarial Networks ICLR 2021 Curriculum Manager for Source Selection in Multi-Source Domain Adaptation ECCV 2020 Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation NIPS 2020 Learning to Balance Specificity and Invariance for In and Out of Domain Generalization ECCV 2020 Adversarial Robustness of Flow-Based Generative Models AISTATS 2020 Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation ICCV 2019 Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis IJCAI 2019 Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs ICML 2019 Generate to Adapt: Aligning Domains Using Generative Adversarial Networks CVPR 2018 MetaReg: Towards Domain Generalization using Meta-Regularization NIPS 2018 Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation CVPR 2018 Unrolling the Shutter: CNN to Correct Motion Distortions CVPR 2017