67 citations · 67 across the 3 of their papers we have counts for
4 papers · 1 filter
Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity
Wassim El Ahmar, Dhanvin Kolhatkar, Farzan Nowruzi +1
Multiple Object Tracking (MOT) in thermal imaging presents unique challenges due to the lack of visual features and the complexity of motion patterns. This paper introduces an inno…
Point Cloud based Hierarchical Deep Odometry Estimation
Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor +1
Processing point clouds using deep neural networks is still a challenging task. Most existing models focus on object detection and registration with deep neural networks using poin…
PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domain
Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor +5
Camera and Lidar processing have been revolutionized with the rapid development of deep learning model architectures. Automotive radar is one of the crucial elements of automated d…
How much real data do we actually need: Analyzing object detection performance using synthetic and real data
Farzan Erlik Nowruzi, Prince Kapoor, Dhanvin Kolhatkar +3
In recent years, deep learning models have resulted in a huge amount of progress in various areas, including computer vision. By nature, the supervised training of deep models requ…