DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic. - Mahdi Rezaei 001; Mohsen Azarmi (CoRR, 2020)

Traffic-Net: 3D Traffic Monitoring Using a Single Camera. - Mahdi Rezaei 001; Mohsen Azarmi; Farzam Mohammad Pour Mir (CoRR, 2021)

Local and Global Contextual Features Fusion for Pedestrian Intention Prediction. - Mohsen Azarmi; Mahdi Rezaei 001; Tanveer Hussain; Chenghao Qian (CoRR, 2023)

3D-Net: Monocular 3D object recognition for traffic monitoring. - Mahdi Rezaei 001; Mohsen Azarmi; Farzam Mohammad Pour Mir (Expert Syst. Appl., 2023)

AllWeather-Net: Unified Image Enhancement for Autonomous Driving Under Adverse Weather and Low-Light Conditions. - Chenghao Qian; Mahdi Rezaei 001; Saeed Anwar; Wenjing Li 005; Tanveer Hussain; Mohsen Azarmi; Wei Wang 335 (ICPR (30), 2024)

Evaluating Driver Readiness in Conditionally Automated Vehicles from Eye-Tracking Data and Head Pose. - Mostafa Kazemi; Mahdi Rezaei 001; Mohsen Azarmi (CoRR, 2024)

PIP-Net: Pedestrian Intention Prediction in the Wild. - Mohsen Azarmi; Mahdi Rezaei 001; He Wang 002; Sébastien Glaser (CoRR, 2024)

AllWeatherNet:Unified Image enhancement for autonomous driving under adverse weather and lowlight-conditions. - Chenghao Qian; Mahdi Rezaei 001; Saeed Anwar; Wenjing Li 005; Tanveer Hussain; Mohsen Azarmi; Wei Wang 335 (CoRR, 2024)

Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review. - Mohsen Azarmi; Mahdi Rezaei 001; He Wang 002; Ali Arabian (CoRR, 2024)

Driver-Net: Multi-Camera Fusion for Assessing Driver Take-Over Readiness in Automated Vehicles. - Mahdi Rezaei 001; Mohsen Azarmi (CoRR, 2025)

Pedestrian Intention Prediction via Vision-Language Foundation Models. - Mohsen Azarmi; Mahdi Rezaei 001; He Wang 002 (CoRR, 2025)

PIP-Net: Pedestrian Intention Prediction in the Wild. - Mohsen Azarmi; Mahdi Rezaei 001; He Wang 002 (IEEE Trans. Intell. Transp. Syst., 2025)