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Amir Rasouli
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2020 – today
- 2024
- [c28]Mozhgan Pourkeshavarz, Junrui Zhang, Amir Rasouli:
CaDeT: A Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving. CVPR 2024: 14874-14884 - [c27]Mozhgan Pourkeshavarz, Mohammad Sabokrou, Amir Rasouli:
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving. CVPR 2024: 14885-14894 - [c26]Mozhgan Pourkeshavarz, Junrui Zhang, Amir Rasouli:
DySeT: A Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction. ECCV (3) 2024: 324-342 - [c25]Rezaul Karim, Soheil Mohamad Alizadeh Shabestary, Amir Rasouli:
DESTINE: Dynamic Goal Queries with Temporal Transductive Alignment for Trajectory Prediction. ICRA 2024: 2230-2237 - [c24]Amir Rasouli:
A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction. ICRA 2024: 5630-5636 - [c23]Changhe Chen, Mozhgan Pourkeshavarz, Amir Rasouli:
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving. ICRA 2024: 8265-8271 - [c22]Amir Rasouli, Iuliia Kotseruba:
Diving Deeper Into Pedestrian Behavior Understanding: Intention Estimation, Action Prediction, and Event Risk Assessment. IV 2024: 1381-1388 - [c21]Younwoo Choi, Ray Coden Mercurius, Soheil Mohamad Alizadeh Shabestary, Amir Rasouli:
DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction. IV 2024: 3023-3029 - [c20]Junrui Zhang, Mozhgan Pourkeshavarz, Amir Rasouli:
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction. IV 2024: 3282-3288 - [i29]Ray Coden Mercurius, Ehsan Ahmadi, Soheil Mohamad Alizadeh Shabestary, Amir Rasouli:
AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Prediction. CoRR abs/2402.08698 (2024) - [i28]Junrui Zhang, Mozhgan Pourkeshavarz, Amir Rasouli:
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction. CoRR abs/2404.12538 (2024) - [i27]Amir Rasouli, Iuliia Kotseruba:
Diving Deeper Into Pedestrian Behavior Understanding: Intention Estimation, Action Prediction, and Event Risk Assessment. CoRR abs/2407.00446 (2024) - 2023
- [c19]Mozhgan Pourkeshavarz, Changhe Chen, Amir Rasouli:
Learn TAROT with MENTOR: A Meta-Learned Self-supervised Approach for Trajectory Prediction. ICCV 2023: 8350-8359 - [c18]Amir Rasouli, Iuliia Kotseruba:
PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning. ICRA 2023: 9844-9851 - [c17]Iuliia Kotseruba, Amir Rasouli:
Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Making. IV 2023: 1-6 - [i26]Iuliia Kotseruba, Amir Rasouli:
Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Making. CoRR abs/2302.03816 (2023) - [i25]Mozhgan PourKeshavarz, Mohammad Sabokrou, Amir Rasouli:
IMPOSITION: Implicit Backdoor Attack through Scenario Injection. CoRR abs/2306.15755 (2023) - [i24]Rezaul Karim, Soheil Mohamad Alizadeh Shabestary, Amir Rasouli:
DESTINE: Dynamic Goal Queries with Temporal Transductive Alignment for Trajectory Prediction. CoRR abs/2310.07438 (2023) - [i23]Changhe Chen, Mozhgan Pourkeshavarz, Amir Rasouli:
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving. CoRR abs/2310.07794 (2023) - [i22]Amir Rasouli:
A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction. CoRR abs/2310.10424 (2023) - [i21]Younwoo Choi, Ray Coden Mercurius, Soheil Mohamad Alizadeh Shabestary, Amir Rasouli:
DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction. CoRR abs/2310.14570 (2023) - 2022
- [c16]Amir Rasouli, Iuliia Kotseruba:
Intend-Wait-Cross: Towards Modeling Realistic Pedestrian Crossing Behavior. IV 2022: 83-90 - [c15]Amir Rasouli, Tiffany Yau, Mohsen Rohani, Jun Luo:
Multi-Modal Hybrid Architecture for Pedestrian Action Prediction. IV 2022: 91-97 - [i20]Elmira Amirloo Abolfathi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo:
LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction. CoRR abs/2203.01880 (2022) - [i19]Amir Rasouli, Iuliia Kotseruba:
Intend-Wait-Cross: Towards Modeling Realistic Pedestrian Crossing Behavior. CoRR abs/2203.07324 (2022) - [i18]Amir Rasouli, Iuliia Kotseruba:
PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning. CoRR abs/2210.07886 (2022) - [i17]Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger
, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen:
NeurIPS 2022 Competition: Driving SMARTS. CoRR abs/2211.07545 (2022) - 2021
- [c14]Amir Rasouli, Mohsen Rohani, Jun Luo:
Bifold and Semantic Reasoning for Pedestrian Behavior Prediction. ICCV 2021: 15580-15590 - [c13]Tiffany Yau, Saber Malekmohammadi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo:
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction. ICRA 2021: 8580-8586 - [c12]Amir Rasouli, Soheil Alizadeh, Iuliia Kotseruba, Yi Ma, Hebin Liang, Yuan Tian, Zhiyu Huang, Haochen Liu, Jingda Wu, Randy Goebel, Tianpei Yang, Matthew E. Taylor, Liam Paull, Xi Chen:
Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. NeurIPS (Competition and Demos) 2021: 73-84 - [c11]Iuliia Kotseruba, Amir Rasouli, John K. Tsotsos
Benchmark for Evaluating Pedestrian Action Prediction. WACV 2021: 1257-1267 - [i16]Amir Rasouli:
Pedestrian Simulation: A Review. CoRR abs/2102.03289 (2021) - 2020
- [j3]Amir Rasouli
Attention-based active visual search for mobile robots. Auton. Robots 44(2): 131-146 (2020) - [j2]Amir Rasouli
Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice. IEEE Trans. Intell. Transp. Syst. 21(3): 900-918 (2020) - [c10]Iuliia Kotseruba, Amir Rasouli
Do They Want to Cross? Understanding Pedestrian Intention for Behavior Prediction. IV 2020: 1688-1693 - [i15]Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs. CoRR abs/2005.06582 (2020) - [i14]Iuliia Kotseruba, Calden Wloka, Amir Rasouli, John K. Tsotsos:
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations. CoRR abs/2005.06583 (2020) - [i13]Amir Rasouli:
Deep Learning for Vision-based Prediction: A Survey. CoRR abs/2007.00095 (2020) - [i12]Amir Rasouli, Tiffany Yau, Mohsen Rohani, Jun Luo:
Multi-Modal Hybrid Architecture for Pedestrian Action Prediction. CoRR abs/2012.00514 (2020) - [i11]Tiffany Yau, Saber Malekmohammadi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo:
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction. CoRR abs/2012.02148 (2020) - [i10]Amir Rasouli, Mohsen Rohani, Jun Luo:
Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling. CoRR abs/2012.03298 (2020) - [i9]Amir Rasouli, Tiffany Yau, Peter Lakner, Saber Malekmohammadi, Mohsen Rohani, Jun Luo:
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D. CoRR abs/2012.07773 (2020)
2010 – 2019
- 2019
- [c9]Iuliia Kotseruba, Calden Wloka, Amir Rasouli, John K. Tsotsos:
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations. BMVC 2019: 137 - [c8]Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs. BMVC 2019: 171 - [c7]Amir Rasouli
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction. ICCV 2019: 6261-6270 - 2018
- [j1]Amir Rasouli
Understanding Pedestrian Behavior in Complex Traffic Scenes. IEEE Trans. Intell. Veh. 3(1): 61-70 (2018) - [c6]Amir Rasouli
It's Not All About Size: On the Role of Data Properties in Pedestrian Detection. ECCV Workshops (1) 2018: 210-225 - [c5]Amir Rasouli
Towards Social Autonomous Vehicles: Understanding Pedestrian-Driver Interactions. ITSC 2018: 729-734 - [i8]Amir Rasouli, John K. Tsotsos:
Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice. CoRR abs/1802.02522 (2018) - [i7]Amir Rasouli, John K. Tsotsos:
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice. CoRR abs/1805.11773 (2018) - [i6]John K. Tsotsos, Iuliia Kotseruba, Amir Rasouli, Markus D. Solbach:
Visual Attention and its Intimate Links to Spatial Cognition. CoRR abs/1806.11530 (2018) - [i5]Amir Rasouli, Pablo Lanillos, Gordon Cheng, John K. Tsotsos:
Attention-based Active Visual Search for Mobile Robots. CoRR abs/1807.10744 (2018) - 2017
- [c4]Amir Rasouli
Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior. ICCV Workshops 2017: 206-213 - [c3]Amir Rasouli
Agreeing to cross: How drivers and pedestrians communicate. Intelligent Vehicles Symposium 2017: 264-269 - [i4]Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Agreeing to Cross: How Drivers and Pedestrians Communicate. CoRR abs/1702.03555 (2017) - [i3]Amir Rasouli, John K. Tsotsos:
Integrating Three Mechanisms of Visual Attention for Active Visual Search. CoRR abs/1702.04292 (2017) - [i2]Amir Rasouli, John K. Tsotsos:
The Effect of Color Space Selection on Detectability and Discriminability of Colored Objects. CoRR abs/1702.05421 (2017) - 2016
- [c2]Amir Rasouli
Sensor Planning for 3D Visual Search with Task Constraints. CRV 2016: 37-44 - [i1]Iuliia Kotseruba, Amir Rasouli, John K. Tsotsos:
Joint Attention in Autonomous Driving (JAAD). CoRR abs/1609.04741 (2016) - 2014
- [c1]Amir Rasouli
Visual Saliency Improves Autonomous Visual Search. CRV 2014: 111-118
Coauthor Index
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last updated on 2024-11-15 19:28 CET by the dblp team
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