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 | 72 | 2021 |
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 | 32 | 2021 |
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 | 7 | 2023 |
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 | 2 | 2023 |
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 | 1 | 2023 |
Imposition: Implicit backdoor attack through scenario injection M Pourkeshavarz, M Sabokrou, A Rasouli arXiv preprint arXiv:2306.15755, 2023 | 1 | 2023 |
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction J Zhang, M Pourkeshavarz, A Rasouli arXiv preprint arXiv:2404.12538, 2024 | | 2024 |
Supplementary Material for Learn TAROT with MENTOR: A Meta-Learned Self-supervised Approach for Trajectory Prediction M Pourkeshavarz, C Chen, A Rasouli | | |