Следене
Mozhgan Pourkeshavarz
Mozhgan Pourkeshavarz
Huawei Noah's Ark Lab
Потвърден имейл адрес: huawei.com
Заглавие
Позовавания
Позовавания
Година
Looking back on learned experiences for class/task incremental learning
M PourKeshavarzi, G Zhao, M Sabokrou
International Conference on Learning Representations (ICLR), Spotlight, 2022
352022
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
92023
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
32023
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
12023
IMPOSITION: Implicit Backdoor Attack through Scenario Injection
M Pourkeshavarz, M Sabokrou, A Rasouli
arXiv preprint arXiv:2306.15755, 2023
12023
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
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
2024
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
2024
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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