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Mozhgan Pourkeshavarz
Mozhgan Pourkeshavarz
Huawei Noah's Ark Lab
在 huawei.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Looking back on learned experiences for class/task incremental learning
M PourKeshavarzi, G Zhao, M Sabokrou
International Conference on Learning Representations (ICLR), Spotlight, 2022
442022
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
142023
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
62024
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
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, 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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