Geometry-Aware End-to-End Skeleton Detection. - Weijian Xu; Gaurav Parmar; Zhuowen Tu (BMVC, 2019)

Affordable Smart Wheelchair. - Isabella Gomez Torres; Gaurav Parmar; Sammarth Aggarwal; Nathaniel Mansur; Alec Guthrie (CHI Extended Abstracts, 2019)

Guided Variational Autoencoder for Disentanglement Learning. - Zheng Ding; Yifan Xu 009; Weijian Xu; Gaurav Parmar; Yang Yang 010; Max Welling; Zhuowen Tu (CVPR, 2020)

Dual Contradistinctive Generative Autoencoder. - Gaurav Parmar; Dacheng Li; Kwonjoon Lee; Zhuowen Tu (CVPR, 2021)

On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation. - Gaurav Parmar; Richard Zhang 001; Jun-Yan Zhu (CoRR, 2021)

On Aliased Resizing and Surprising Subtleties in GAN Evaluation. - Gaurav Parmar; Richard Zhang 001; Jun-Yan Zhu (CVPR, 2022)

Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. - Gaurav Parmar; Yijun Li 001; Jingwan Lu; Richard Zhang 001; Jun-Yan Zhu; Krishna Kumar Singh (CVPR, 2022)

Zero-shot Image-to-Image Translation. - Gaurav Parmar; Krishna Kumar Singh; Richard Zhang 001; Yijun Li 001; Jingwan Lu; Jun-Yan Zhu (SIGGRAPH (Conference Paper Track), 2023)

Genetic algorithm and hamilton path based data hiding scheme including embedding cost optimization. - Gyan Singh Yadav; Parth Mangal; Gaurav Parmar; Shubham Soliya (Multim. Tools Appl., 2023)

On the Content Bias in Fréchet Video Distance. - Songwei Ge; Aniruddha Mahapatra; Gaurav Parmar; Jun-Yan Zhu; Jia-Bin Huang (CVPR, 2024)

CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting. - Peter Schaldenbrand; Gaurav Parmar; Jun-Yan Zhu; James McCann; Jean Oh (ICRA, 2024)

One-Step Image Translation with Text-to-Image Models. - Gaurav Parmar; Taesung Park; Srinivasa Narasimhan; Jun-Yan Zhu (CoRR, 2024)

On the Content Bias in Fr 'echet Video Distance. - Songwei Ge; Aniruddha Mahapatra; Gaurav Parmar; Jun-Yan Zhu; Jia-Bin Huang (CoRR, 2024)

Object-level Visual Prompts for Compositional Image Generation. - Gaurav Parmar; Or Patashnik; Kuan-Chieh Wang; Daniil Ostashev; Srinivasa Narasimhan; Jun-Yan Zhu; Daniel Cohen-Or; Kfir Aberman (CoRR, 2025)

Scaling Group Inference for Diverse and High-Quality Generation. - Gaurav Parmar; Or Patashnik; Daniil Ostashev; Kuan-Chieh Wang; Kfir Aberman; Srinivasa Narasimhan; Jun-Yan Zhu (CoRR, 2025)