Jay Patravali

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Shubham JainPh.D. Student, Imperial College LondonVerified email at imperial.ac.uk
Sasank ChilamkurthyQure.aiVerified email at qure.ai
Fuxin LiOregon State UniversityVerified email at oregonstate.edu
Mei ChenCarnegie Mellon, MicrosoftVerified email at albany.edu
Gaurav MittalSenior Researcher, MicrosoftVerified email at microsoft.com
Ye YuMicrosoftVerified email at alumni.princeton.edu
Jogendra Nath KunduResearch Scientist, MetaVerified email at iisc.ac.in
Alan FernOregon State UniversityVerified email at oregonstate.edu
Chanho KimOregon State UniversityVerified email at gatech.edu
Stephen NuskeVerified email at aquabyte.ai
Sankalp AroraStudent at Robotics InstituteVerified email at andrew.cmu.edu
R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
Hung NguyenOregon State UniversityVerified email at oregonstate.edu
Rahul Mysore VenkateshStanford UniversityVerified email at stanford.edu

Jay Patravali

Microsoft

Verified email at microsoft.com - Homepage

Computer Vision


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Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved? O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ... IEEE transactions on medical imaging 37 (11), 2514-2525, 2018	1431	2018
2D-3D fully convolutional neural networks for cardiac MR segmentation J Patravali, S Jain, S Chilamkurthy International Workshop on Statistical Atlases and Computational Models of …, 2017	138	2017
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation J Patravali, G Mittal, Y Yu, F Li, M Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	16	2021
Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion J Patravali, JN Kundu, MV Rahul, VB RADHAKRISHNAN The IEEE Winter Conference on Applications of Computer Vision, 469-478, 2020	11*	2020
Learning Intuitive Physics by Explaining Surprise J Patravali, H Nguyen, F Li, A Fern Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	4*	2020
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation J Yuan, J Patravali, H Nguyen, C Kim, L Fuxin arXiv preprint arXiv:2301.12352, 2023	1	2023
LEVERAGING UNSUPERVISED META-LEARNING TO BOOST FEW-SHOT ACTION RECOGNITION G Mittal, Y YU, M Chen, JS Patravali US Patent App. 17/535,517, 2023		2023
Towards Annotation-Efficient Video Representation Learning J Patravali Oregon State University, 2021		2021
Supplementary: Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation J Patravali, G Mittal, Y Yu, F Li, M Chen		2021
Finding Better Wide Baseline Stereo Solutions Using Feature Quality S Nuske, J Patravali Field and Service Robotics: Results of the 11th International Conference, 83-98, 2018		2018
Single robot exploration using Range sensors J Patravali, S Arora, S Scherer		2015

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