Jay Patravali

According to our database, Jay Patravali authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation.

Jialin Yuan, Jay Patravali, Hung Nguyen, Chanho Kim, Fuxin Li

CoRR, 2023

2021

Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation.

Jay Patravali, Gaurav Mittal, Ye Yu, Fuxin Li, Mei Chen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion.

Jogendra Nath Kundu, Rahul M. V., Jay Patravali, R. Venkatesh Babu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning Intuitive Physics by Explaining Surprise.

Hung Nguyen, Jay Patravali, Fuxin Li, Alan Fern

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

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

IEEE Trans. Medical Imaging, 2018

2017

2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation.

Jay Patravali, Shubham Jain, Sasank Chilamkurthy

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Finding Better Wide Baseline Stereo Solutions Using Feature Quality.

Stephen Nuske, Jay Patravali

Proceedings of the Field and Service Robotics, 2017