Abhineet Singh

Background

About Abhineet Singh

I am a machine learning developer at Mojow Autonomous Solutions, working on automating farming operations using computer vision and deep learning. I recently completed my PhD at the University of Alberta Computing Science Department. My supervisor was Dr. Nilanjan Ray and my thesis was mostly about object detection and segmentation with language modeling, though I also spent several years working on multi-object tracking. Prior to that, I was with the Vision and Robotics group where I completed my MSc under Prof. Martin Jagersand. My master's thesis was about high precision 2D tracking in natural images and its application to uncalibrated visual servoing. As part of that project, I created a modular framework for registration based tracking that includes highly efficient C++ implementations of several appearance models, search methods and state space models - each combination thereof constituting a distinct tracker. I completed my under graduation in 2013 from Allahabad with a major in computer vision. While there, I did several vision projects, including my B.Tech Thesis work on abandoned object detection, under Prof. Anupam Agrawal. I also spent two summers doing a machine learning project on online signature verification with Prof. Madasu Hanmandlu at IIT Delhi. My research interests include computer vision and machine learning in general though I am particularly interested in the application of deep learning to vision problems like object detection, segmentation and tracking. Please contact me for my CV.