Amir Rasouli | DeepAI

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∙ 06/27/2023

IMPOSITION: Implicit Backdoor Attack through Scenario Injection

This paper presents a novel backdoor attack called IMPlicit BackdOor Att...

0 Mozhgan PourKeshavarz, et al. ∙

∙ 02/08/2023

Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Making

Current research on pedestrian behavior understanding focuses on the dyn...

0 Iuliia Kotseruba, et al. ∙

∙ 11/14/2022

NeurIPS 2022 Competition: Driving SMARTS

Driving SMARTS is a regular competition designed to tackle problems caus...

0 Amir Rasouli, et al. ∙

∙ 10/14/2022

PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning

Predicting pedestrian behavior is a crucial task for intelligent driving...

0 Amir Rasouli, et al. ∙

∙ 03/14/2022

Intend-Wait-Cross: Towards Modeling Realistic Pedestrian Crossing Behavior

In this paper, we present a microscopic agent-based pedestrian behavior ...

0 Amir Rasouli, et al. ∙

∙ 03/03/2022

LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction

Multi-agent trajectory prediction is a fundamental problem in autonomous...

2 Elmira Amirloo, et al. ∙

∙ 02/05/2021

Pedestrian Simulation: A Review

This article focuses on different aspects of pedestrian (crowd) modeling...

0 Amir Rasouli, et al. ∙

∙ 12/14/2020

PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D

Predicting the behavior of road users, particularly pedestrians, is vita...

0 Amir Rasouli, et al. ∙

∙ 12/06/2020

Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling

Pedestrian behavior prediction is one of the major challenges for intell...

0 Amir Rasouli, et al. ∙

∙ 12/03/2020

Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction

One of the most crucial yet challenging tasks for autonomous vehicles in...

0 Tiffany Yau, et al. ∙

∙ 11/16/2020

Multi-Modal Hybrid Architecture for Pedestrian Action Prediction

Pedestrian behavior prediction is one of the major challenges for intell...

0 Amir Rasouli, et al. ∙

∙ 06/30/2020

Deep Learning for Vision-based Prediction: A Survey

Vision-based prediction algorithms have a wide range of applications inc...

0 Amir Rasouli, et al. ∙

∙ 05/13/2020

Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations

Recent advances in the field of saliency have concentrated on fixation p...

29 Iuliia Kotseruba, et al. ∙

∙ 05/13/2020

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

One of the major challenges for autonomous vehicles in urban environment...

13 Amir Rasouli, et al. ∙

∙ 07/27/2018

Attention-based Active Visual Search for Mobile Robots

We present an active visual search model for finding objects in unknown ...

0 Amir Rasouli, et al. ∙

∙ 06/29/2018

Visual Attention and its Intimate Links to Spatial Cognition

It is almost universal to regard attention as the facility that permits ...

0 John K. Tsotsos, et al. ∙

∙ 05/30/2018

Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice

One of the major challenges that autonomous cars are facing today is dri...

2 Amir Rasouli, et al. ∙

∙ 02/07/2018

Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice

Today, one of the major challenges that autonomous vehicles are facing i...

0 Amir Rasouli, et al. ∙

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