Theo dõi
Mozhgan Pourkeshavarz
Mozhgan Pourkeshavarz
Huawei Noah's Ark Lab
Email được xác minh tại huawei.com - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Looking back on learned experiences for class/task incremental learning
M PourKeshavarzi, G Zhao, M Sabokrou
International Conference on Learning Representations (ICLR), Spotlight, 2022
452022
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
152023
Cadet: a causal disentanglement approach for robust trajectory prediction in autonomous driving
M Pourkeshavarz, J Zhang, A Rasouli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
82024
Adversarial backdoor attack by naturalistic data poisoning on trajectory prediction in autonomous driving
M Pourkeshavarz, M Sabokrou, A Rasouli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
72024
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
52023
DySeT: A Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction
M Pourkeshavarz, J Zhang, A Rasouli
European Conference on Computer Vision, 324-342, 2024
22024
Criteria: a new benchmarking paradigm for evaluating trajectory prediction models for autonomous driving
C Chen, M Pourkeshavarz, A Rasouli
2024 IEEE International Conference on Robotics and Automation (ICRA), 8265-8271, 2024
22024
Imposition: Implicit backdoor attack through scenario injection
M Pourkeshavarz, M Sabokrou, A Rasouli
arXiv preprint arXiv:2306.15755 2, 2023
22023
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
J Zhang, M Pourkeshavarz, A Rasouli
IEEE Intelligent Vehicles Symposium (IV), 2024
12024
Supplementary Material for 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
2023
Supplementary Material of DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction
M Pourkeshavarz, J Zhang, A Rasouli
European Conference on Computer Vision, 0
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