A Review of 40 Years of Cognitive Architecture Research: Focus on Perception, Attention, Learning and Applications. - Iuliia Kotseruba; Oscar J. Avella Gonzalez; John K. Tsotsos (CoRR, 2016)

Joint Attention in Autonomous Driving (JAAD). - Iuliia Kotseruba; Amir Rasouli; John K. Tsotsos (CoRR, 2016)

Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior. - Amir Rasouli; Iuliia Kotseruba; John K. Tsotsos (ICCV Workshops, 2017)

Agreeing to cross: How drivers and pedestrians communicate. - Amir Rasouli; Iuliia Kotseruba; John K. Tsotsos (Intelligent Vehicles Symposium, 2017)

STAR-RT: Visual attention for real-time video game playing. - Iuliia Kotseruba; John K. Tsotsos (CoRR, 2017)

Saccade Sequence Prediction: Beyond Static Saliency Maps. - Calden Wloka; Iuliia Kotseruba; John K. Tsotsos (CoRR, 2017)

Active Fixation Control to Predict Saccade Sequences. - Calden Wloka; Iuliia Kotseruba; John K. Tsotsos (CVPR, 2018)

It's Not All About Size: On the Role of Data Properties in Pedestrian Detection. - Amir Rasouli; Iuliia Kotseruba; John K. Tsotsos (ECCV Workshops (1), 2018)

Towards Social Autonomous Vehicles: Understanding Pedestrian-Driver Interactions. - Amir Rasouli; Iuliia Kotseruba; John K. Tsotsos (ITSC, 2018)

Visual Attention and its Intimate Links to Spatial Cognition. - John K. Tsotsos; Iuliia Kotseruba; Amir Rasouli; Markus D. Solbach (CoRR, 2018)

SMILER: Saliency Model Implementation Library for Experimental Research. - Calden Wloka; Toni Kunic; Iuliia Kotseruba; Ramin Fahimi; Nicholas Frosst; Neil D. B. Bruce; John K. Tsotsos (CoRR, 2018)

Understanding Pedestrian Behavior in Complex Traffic Scenes. - Amir Rasouli; Iuliia Kotseruba; John K. Tsotsos (IEEE Trans. Intell. Veh., 2018)

Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations. - Iuliia Kotseruba; Calden Wloka; Amir Rasouli; John K. Tsotsos (BMVC, 2019)

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs. - Amir Rasouli; Iuliia Kotseruba; John K. Tsotsos (BMVC, 2019)

PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction. - Amir Rasouli; Iuliia Kotseruba; Toni Kunic; John K. Tsotsos (ICCV, 2019)

Why Does Data-Driven Beat Theory-Driven Computer Vision? - John K. Tsotsos; Iuliia Kotseruba; Alexander Andreopoulos; Yulong Wu (ICCV Workshops, 2019)

Early Salient Region Selection Does Not Drive Rapid Visual Categorization. - John K. Tsotsos; Iuliia Kotseruba; Calden Wloka (CoRR, 2019)

A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision. - John K. Tsotsos; Iuliia Kotseruba; Alexander Andreopoulos; Yulong Wu (CoRR, 2019)

Do They Want to Cross? Understanding Pedestrian Intention for Behavior Prediction. - Iuliia Kotseruba; Amir Rasouli; John K. Tsotsos (IV, 2020)

40 years of cognitive architectures: core cognitive abilities and practical applications. - Iuliia Kotseruba; John K. Tsotsos (Artif. Intell. Rev., 2020)

Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. - 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; et al. (NeurIPS (Competition and Demos), 2021)

Benchmark for Evaluating Pedestrian Action Prediction. - Iuliia Kotseruba; Amir Rasouli; John K. Tsotsos (WACV, 2021)

On the Control of Attentional Processes in Vision. - John K. Tsotsos; Omar Abid; Iuliia Kotseruba; Markus D. Solbach (CoRR, 2021)

Behavioral Research and Practical Models of Drivers' Attention. - Iuliia Kotseruba; John K. Tsotsos (CoRR, 2021)

Industry and Academic Research in Computer Vision. - Iuliia Kotseruba; Manos Papagelis; John K. Tsotsos (CoRR, 2021)

Intend-Wait-Cross: Towards Modeling Realistic Pedestrian Crossing Behavior. - Amir Rasouli; Iuliia Kotseruba (IV, 2022)

NeurIPS 2022 Competition: Driving SMARTS. - 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; et al. (CoRR, 2022)

Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets. - Iuliia Kotseruba; John K. Tsotsos (IEEE Trans. Intell. Transp. Syst., 2022)

PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning. - Amir Rasouli; Iuliia Kotseruba (ICRA, 2023)

Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Making. - Iuliia Kotseruba; Amir Rasouli (IV, 2023)

Understanding and Modeling the Effects of Task and Context on Drivers' Gaze Allocation. - Iuliia Kotseruba; John K. Tsotsos (IV, 2024)

Data Limitations for Modeling Top-Down Effects on Drivers' Attention. - Iuliia Kotseruba; John K. Tsotsos (IV, 2024)

SCOUT+: Towards Practical Task-Driven Drivers' Gaze Prediction. - Iuliia Kotseruba; John K. Tsotsos (IV, 2024)

Diving Deeper Into Pedestrian Behavior Understanding: Intention Estimation, Action Prediction, and Event Risk Assessment. - Amir Rasouli; Iuliia Kotseruba (IV, 2024)

SNAP: A Benchmark for Testing the Effects of Capture Conditions on Fundamental Vision Tasks. - Iuliia Kotseruba; John K. Tsotsos (CoRR, 2025)