Pranamesh Chakraborty

Orcid: 0000-0003-2624-5543

According to our database1, Pranamesh Chakraborty authored at least 23 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SGAP-Gaze: Scene Grid Attention Based Point-of-Gaze Estimation Network for Driver Gaze.
CoRR, April, 2026

Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles.
CoRR, March, 2026

2025
Surveillance Video-Based Traffic Accident Detection Using Transformer Architecture.
CoRR, December, 2025

Deep reinforcement learning-based longitudinal control strategy for automated vehicles at signalised intersections.
CoRR, May, 2025


2024
A review of driver gaze estimation and application in gaze behavior understanding.
Eng. Appl. Artif. Intell., 2024

Evaluation and Comparison of Visual Language Models for Transportation Engineering Problems.
CoRR, 2024


2023
Massively parallelizable approach for evaluating signalized arterial performance using probe-based data.
J. Intell. Transp. Syst., July, 2023

Traffic Intersection Vehicle Movement Counts with Temporal and Visual Similarity based Re-Identification.
Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023


2022
Enhancing vehicle detection accuracy in thermal infrared images using multiple GANs.
CoRR, 2022


2021
Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections.
CoRR, 2021

The 5th AI City Challenge.
CoRR, 2021

The 5th AI City Challenge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Camera-based Smart Traffic State Detection in India using Deep Learning Models.
Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021

2020
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images.
CoRR, 2020

The 4th AI City Challenge.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Freeway traffic incident detection using large scale traffic data and cameras.
PhD thesis, 2019

The 2019 AI City Challenge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

The 2018 NVIDIA AI City Challenge.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018


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