Dhanvin Kolhatkar

According to our database, Dhanvin Kolhatkar authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity.

Wassim A. El Ahmar, Dhanvin Kolhatkar, Farzan Erlik Nowruzi, Robert Laganière

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Enhanced Thermal-RGB Fusion for Robust Object Detection.

Wassim A. El Ahmar, Yahya Massoud, Dhanvin Kolhatkar, Hamzah Alghamdi, Mohammad Al Ja'afreh, Robert Laganière, Riad I. Hammoud

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Attention-Based Deep Odometry Estimation on Point Clouds.

Prince Kapoor, Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Robert Laganière

SN Comput. Sci., 2022

Multiple Object Detection and Tracking in the Thermal Spectrum.

Wassim A. El Ahmar, Dhanvin Kolhatkar, Farzan Erlik Nowruzi, Hamzah Alghamdi, Jonathan Hou, Robert Laganière

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Point Cloud based Hierarchical Deep Odometry Estimation.

Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Robert Laganière

Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021

PolarNet: Accelerated Deep Open Space Segmentation using Automotive Radar in Polar Domain.

Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Elnaz Jahani Heravi, Fahed Al Hassanat, Robert Laganière, Julien Rebut, Waqas Malik

Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021

2020

Deep Open Space Segmentation using Automotive Radar.

Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Fahed Al Hassanat, Elnaz Jahani Heravi, Robert Laganière, Julien Rebut, Waqas Malik

CoRR, 2020

2019

How much real data do we actually need: Analyzing object detection performance using synthetic and real data.

Farzan Erlik Nowruzi, Prince Kapoor, Dhanvin Kolhatkar, Fahed Al Hassanat, Robert Laganière, Julien Rebut

CoRR, 2019