Mozhgan PourKeshavarz

According to our database, Mozhgan PourKeshavarz authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Stacked cross-modal feature consolidation attention networks for image captioning.

Mozhgan Pourkeshavarz, Shahabedin Nabavi, Mohsen Ebrahimi Moghaddam, Mehrnoush Shamsfard

Multim. Tools Appl., January, 2024

TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction.

Junrui Zhang, Mozhgan Pourkeshavarz, Amir Rasouli

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving.

Changhe Chen, Mozhgan Pourkeshavarz, Amir Rasouli

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

DySeT: A Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction.

Mozhgan Pourkeshavarz, Junrui Zhang, Amir Rasouli

Proceedings of the Computer Vision - ECCV 2024, 2024

CaDeT: A Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving.

Mozhgan Pourkeshavarz, Junrui Zhang, Amir Rasouli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving.

Mozhgan Pourkeshavarz, Mohammad Sabokrou, Amir Rasouli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

IMPOSITION: Implicit Backdoor Attack through Scenario Injection.

Mozhgan PourKeshavarz, Mohammad Sabokrou, Amir Rasouli

CoRR, 2023

Learn TAROT with MENTOR: A Meta-Learned Self-supervised Approach for Trajectory Prediction.

Mozhgan Pourkeshavarz, Changhe Chen, Amir Rasouli

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Looking Back on Learned Experiences For Class/task Incremental Learning.

Mozhgan PourKeshavarz, Guoying Zhao, Mohammad Sabokrou

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning.

Mozhgan PourKeshavarz, Mohammad Sabokrou

CoRR, 2021