Amir Rasouli
Orcid: 0000-0002-0106-2225
According to our database1,
Amir Rasouli
authored at least 45 papers
between 2014 and 2024.
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Online presence:
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Bibliography
2024
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving.
CoRR, 2024
CoRR, 2024
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Diving Deeper Into Pedestrian Behavior Understanding: Intention Estimation, Action Prediction, and Event Risk Assessment.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
DESTINE: Dynamic Goal Queries with Temporal Transductive Alignment for Trajectory Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
CaDeT: A Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Making.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Learn TAROT with MENTOR: A Meta-Learned Self-supervised Approach for Trajectory Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction.
CoRR, 2022
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
CoRR, 2020
Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling.
CoRR, 2020
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
2019
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 30th British Machine Vision Conference 2019, 2019
Proceedings of the 30th British Machine Vision Conference 2019, 2019
2018
IEEE Trans. Intell. Veh., 2018
CoRR, 2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2017
The Effect of Color Space Selection on Detectability and Discriminability of Colored Objects.
CoRR, 2017
CoRR, 2017
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
2016
Proceedings of the 13th Conference on Computer and Robot Vision, 2016
2014
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014