Mohsen Azarmi

Orcid: 0000-0003-0737-9204

According to our database1, Mohsen Azarmi authored at least 15 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
OM4AnI: A Novel Overlap Measure for Anomaly Identification in Multi-Class Scatterplots.
IEEE Trans. Vis. Comput. Graph., February, 2026

Identifying OM4AnI's Effectiveness in the Context of Explainable AI.
Proceedings of the 19th IEEE Pacific Visualization Conference, 2026

2025
PIP-Net: Pedestrian Intention Prediction in the Wild.
IEEE Trans. Intell. Transp. Syst., July, 2025

Driver-Net: Multi-Camera Fusion for Assessing Driver Take-Over Readiness in Automated Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Pedestrian Intention Prediction via Vision-Language Foundation Models.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

It Matters Who Is Behind The Wheel: Driver Monitoring Feature Analysis Using Explainable AI.
Proceedings of the Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2025

2024
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review.
CoRR, 2024

AllWeatherNet:Unified Image enhancement for autonomous driving under adverse weather and lowlight-conditions.
CoRR, 2024

PIP-Net: Pedestrian Intention Prediction in the Wild.
CoRR, 2024

Evaluating Driver Readiness in Conditionally Automated Vehicles from Eye-Tracking Data and Head Pose.
CoRR, 2024

AllWeather-Net: Unified Image Enhancement for Autonomous Driving Under Adverse Weather and Low-Light Conditions.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
3D-Net: Monocular 3D object recognition for traffic monitoring.
Expert Syst. Appl., October, 2023

Local and Global Contextual Features Fusion for Pedestrian Intention Prediction.
CoRR, 2023

2021
Traffic-Net: 3D Traffic Monitoring Using a Single Camera.
CoRR, 2021

2020
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic.
CoRR, 2020


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