ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning. - Mozhgan PourKeshavarz; Mohammad Sabokrou (CoRR, 2021)

Looking Back on Learned Experiences For Class/task Incremental Learning. - Mozhgan PourKeshavarz; Guoying Zhao 001; Mohammad Sabokrou (ICLR, 2022)

Learn TAROT with MENTOR: A Meta-Learned Self-supervised Approach for Trajectory Prediction. - Mozhgan Pourkeshavarz; Changhe Chen; Amir Rasouli (ICCV, 2023)

IMPOSITION: Implicit Backdoor Attack through Scenario Injection. - Mozhgan PourKeshavarz; Mohammad Sabokrou; Amir Rasouli (CoRR, 2023)

Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving. - Mozhgan Pourkeshavarz; Mohammad Sabokrou; Amir Rasouli (CVPR, 2024)

CaDeT: A Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving. - Mozhgan Pourkeshavarz; Junrui Zhang 004; Amir Rasouli (CVPR, 2024)

DySeT: A Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction. - Mozhgan Pourkeshavarz; Junrui Zhang 004; Amir Rasouli (ECCV (3), 2024)

CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving. - Changhe Chen; Mozhgan Pourkeshavarz; Amir Rasouli (ICRA, 2024)

TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction. - Junrui Zhang 004; Mozhgan Pourkeshavarz; Amir Rasouli (IV, 2024)

Stacked cross-modal feature consolidation attention networks for image captioning. - Mozhgan Pourkeshavarz; Shahabedin Nabavi; Mohsen Ebrahimi Moghaddam; Mehrnoush Shamsfard (Multim. Tools Appl., 2024)