Finding Better Wide Baseline Stereo Solutions Using Feature Quality. - Stephen Nuske; Jay Patravali (FSR, 2017)

2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation. - Jay Patravali; Shubham Jain; Sasank Chilamkurthy (STACOM@MICCAI, 2017)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

Learning Intuitive Physics by Explaining Surprise. - Hung Nguyen; Jay Patravali; Fuxin Li; Alan Fern (CVPR Workshops, 2020)

Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion. - Jogendra Nath Kundu; Rahul M. V.; Jay Patravali; R. Venkatesh Babu (WACV, 2020)

Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation. - Jay Patravali; Gaurav Mittal; Ye Yu 003; Fuxin Li; Mei Chen (ICCV, 2021)

Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation. - Jialin Yuan; Jay Patravali; Hung Nguyen; Chanho Kim; Fuxin Li (CoRR, 2023)

Click&Describe: Multimodal Grounding and Tracking for Aerial Objects. - Rupanjali Kukal; Jay Patravali; Fuxun Yu; Simranjit Singh 003; Nikolaos Karianakis; Rishi Madhok (WACV, 2025)