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Mozhgan Pourkeshavarz
Mozhgan Pourkeshavarz
Huawei Noah's Ark Lab
Verified email at huawei.com
Title
Cited by
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Year
Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks
I Shiri, KAM Sabet, H Arabi, M Pourkeshavarz, B Teimourian, MR Ay, ...
Journal of Nuclear Cardiology 28 (6), 2761-2779, 2021
722021
Looking back on learned experiences for class/task incremental learning
M PourKeshavarzi, G Zhao, M Sabokrou
International Conference on Learning Representations (ICLR), Spotlight paper, 2021
312021
Learn TAROT with MENTOR: A Meta-Learned Self-supervised Approach for Trajectory Prediction
M Pourkeshavarz, C Chen, A Rasouli
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
62023
Stacked cross-modal feature consolidation attention networks for image captioning
M Pourkeshavarz, S Nabavi, ME Moghaddam, M Shamsfard
Multimedia Tools and Applications (Thesis 2019), 1-25, 2023
22023
Imposition: Implicit backdoor attack through scenario injection
M Pourkeshavarz, M Sabokrou, A Rasouli
arXiv preprint arXiv:2306.15755, 2023
12023
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving
C Chen, M Pourkeshavarz, A Rasouli
arXiv preprint arXiv:2310.07794, 2023
2023
Supplementary Material for Learn TAROT with MENTOR: A Meta-Learned Self-supervised Approach for Trajectory Prediction
M Pourkeshavarz, C Chen, A Rasouli
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