Jay Patravali - RankMe

11 papers A* 1A 2Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Click&Describe: Multimodal Grounding and Tracking for Aerial Objects. WACV Rupanjali Kukal, Jay Patravali, Fuxun Yu, Simranjit Singh, Nikolaos Karianakis, Rishi Madhok
2025	J	`jnl`	Geo-R1: Unlocking VLM Geospatial Reasoning with Cross-View Reinforcement Learning. CoRR Chenhui Xu, Fuxun Yu, Michael J. Bianco, Jacob Kovarskiy, Raphael Tang, Qi Zhang, Zirui Xu, Will LeVine, Brandon Dubbs, Heming Liao, Cassandra Burgess, Suvam Bag, Jay Patravali, Rupanjali Kukal, Mikael Figueroa, Rishi Madhok, Nikolaos Karianakis, Jinjun Xiong
2023	J	`jnl`	Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation. CoRR Jialin Yuan, Jay Patravali, Hung Nguyen, Chanho Kim, Fuxin Li
2021	A*	`conf`	Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation. ICCV Jay Patravali, Gaurav Mittal, Ye Yu, Fuxin Li, Mei Chen
2021	J	`jnl`	Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation. CoRR Jay Patravali, Gaurav Mittal, Ye Yu, Fuxin Li, Mei Chen
2020	—	`conf`	Learning Intuitive Physics by Explaining Surprise. CVPR Workshops Hung Nguyen, Jay Patravali, Fuxin Li, Alan Fern
2020	A	`conf`	Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion. WACV Jogendra Nath Kundu, Rahul M. V., Jay Patravali, R. Venkatesh Babu
2018	J	`jnl`	Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin
2017	—	`conf`	2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation. STACOM@MICCAI Jay Patravali, Shubham Jain, Sasank Chilamkurthy
2017	J	`jnl`	2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation. CoRR Jay Patravali, Shubham Jain, Sasank Chilamkurthy
2017	—	`conf`	Finding Better Wide Baseline Stereo Solutions Using Feature Quality. FSR Stephen Nuske, Jay Patravali