| A robust learning approach to domain adaptive object detection M Khodabandeh, A Vahdat, M Ranjbar, WG Macready Proceedings of the IEEE/CVF International Conference on Computer Vision, 480-490, 2019 | 289 | 2019 |
| Discovering human interactions in videos with limited data labeling M Khodabandeh, A Vahdat, GT Zhou, H Hajimirsadeghi, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 28 | 2015 |
| StrongestPath: a Cytoscape application for protein–protein interaction analysis Z Mousavian, M Khodabandeh, A Sharifi-Zarchi, A Nadafian, A Mahmoudi BMC bioinformatics 22, 1-14, 2021 | 25 | 2021 |
| Human action data set generation in a machine learning system HV JOZE, I Zharkov, V Pradeep, M Khodabandeh US Patent 10,679,044, 2020 | 17 | 2020 |
| DIY human action dataset generation M Khodabandeh, H Reza Vaezi Joze, I Zharkov, V Pradeep Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 14 | 2018 |
| Object detection in surveillance video from dense trajectories M Zhai, L Chen, J Li, M Khodabandeh, G Mori 2015 14th IAPR International Conference on Machine Vision Applications (MVA …, 2015 | 9 | 2015 |
| Active learning for structured prediction from partially labeled data M Khodabandeh, Z Deng, MS Ibrahim, S Satoh, G Mori arXiv preprint arXiv:1706.02342, 2017 | 7 | 2017 |
| Distribution aware active learning A Mehrjou, M Khodabandeh, G Mori arXiv preprint arXiv:1805.08916, 2018 | 6 | 2018 |
| Unsupervised learning of supervoxel embeddings for video segmentation M Khodabandeh, S Muralidharan, A Vahdat, N Mehrasa, EM Pereira, ... 2016 23rd International Conference on Pattern Recognition (ICPR), 2392-2397, 2016 | 3 | 2016 |
| Systems and methods for domain adaptation A Vahdat, M Ranjbar, M Khodabandeh, WG Macready, Z Bian US Patent 11,625,612, 2023 | 1 | 2023 |
| Addressing the labeled data scarcity problem in deep learning M Khodabandeh Simon Fraser University, 2023 | | 2023 |
Arash VahdatSenior Research Manager at NVIDIA ResearchVerified email at nvidia.com
