7 citations · 18 across the 15 of their papers we have counts for
13 papers · 1 filter
TransGaze-Object: Transformer Based Driver Gaze Object Prediction Framework in Real Driving
Pavan Kumar Sharma, Ayush Pande, Pranamesh Chakraborty
Driver gaze provides information regarding driver visual attention and situational awareness to the surrounding traffic. Existing driver gaze estimation studies represent gaze in t…
SGAP-Gaze: Scene Grid Attention Based Point-of-Gaze Estimation Network for Driver Gaze
Pavan Kumar Sharma, Pranamesh Chakraborty
Driver gaze estimation is essential for understanding the driver's situational awareness of surrounding traffic. Existing gaze estimation models use driver facial information to pr…
Surveillance Video-Based Traffic Accident Detection Using Transformer Architecture
Tanu Singh, Pranamesh Chakraborty, Long T. Truong
Road traffic accidents represent a leading cause of mortality globally, with incidence rates rising due to increasing population, urbanization, and motorization. Rising accident ra…
The 9th AI City Challenge
Zheng Tang, Shuo Wang, David C. Anastasiu +25
The ninth AI City Challenge continues to advance real-world applications of computer vision and AI in transportation, industrial automation, and public safety. The 2025 edition fea…
Evaluation and Comparison of Visual Language Models for Transportation Engineering Problems
Sanjita Prajapati, Tanu Singh, Chinmay Hegde +1
Recent developments in vision language models (VLM) have shown great potential for diverse applications related to image understanding. In this study, we have explored state-of-the…
The 8th AI City Challenge
Shuo Wang, David C. Anastasiu, Zheng Tang +21
The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems (I…
A Review of Driver Gaze Estimation and Application in Gaze Behavior Understanding
Pavan Kumar Sharma, Pranamesh Chakraborty
Driver gaze plays an important role in different gaze-based applications such as driver attentiveness detection, visual distraction detection, gaze behavior understanding, and buil…
The 7th AI City Challenge
Milind Naphade, Shuo Wang, David C. Anastasiu +17
The AI City Challenge's seventh edition emphasizes two domains at the intersection of computer vision and artificial intelligence - retail business and Intelligent Traffic Systems…
Thermal infrared image based vehicle detection in low-level illumination conditions using multi-level GANs
Shivom Bhargava, Sanjita Prajapati, Pranamesh Chakraborty
Vehicle detection accuracy is fairly accurate in good-illumination conditions but susceptible to poor detection accuracy under low-light conditions. The combined effect of low-ligh…
The 6th AI City Challenge
Milind Naphade, Shuo Wang, David C. Anastasiu +14
The 6th edition of the AI City Challenge specifically focuses on problems in two domains where there is tremendous unlocked potential at the intersection of computer vision and art…
Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections
Udita Jana, Jyoti Prakash Das Karmakar, Pranamesh Chakraborty +4
Movement specific vehicle classification and counting at traffic intersections is a crucial component for various traffic management activities. In this context, with recent advanc…
The 5th AI City Challenge
Milind Naphade, Shuo Wang, David C. Anastasiu +11
The AI City Challenge was created with two goals in mind: (1) pushing the boundaries of research and development in intelligent video analysis for smarter cities use cases, and (2)…
The 4th AI City Challenge
Milind Naphade, Shuo Wang, David Anastasiu +7
The AI City Challenge was created to accelerate intelligent video analysis that helps make cities smarter and safer. Transportation is one of the largest segments that can benefit…