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 | 1534 | 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 | 140 | 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 | 17 | 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 | 12* | 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 | 3* | 2020 |
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 | 1 | 2023 |
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 |
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 |