← Authors

Yogesh Balaji

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

Achievements

πŸ—ΊοΈ Taxonomy Completionist (41) πŸƒ Academic Marathon (8) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (10) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ† Grand Slam 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (19) πŸ—ƒοΈ Keyword Collector (68)

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