I am a second year PhD student at Mila (previously, Montreal Institute for Learning Algorithms), advised by Dr. Liam Paull. My interests are diverse; predominantly along the intersections of robotics, computer vision, deep learning, and computer graphics.
At present, I devote most of my time to develop techniques that enable embodied agents to not just see, but to understand. Vision sensors only inform a robot information about what is visible to them. However, perception algorithms must be able to leverage prior information about how the world works, to truly understand their environment. This is the hypothesis/motivation that most of my research hinges on. My work spans generative 3D modeling, scene understanding, SLAM, and perception for autonomous driving.
When I’m not doing research, I love to spend time writing technical blogs, tutorials, and open-source code.
|May 13, 2019||Deep learning research internship at NVIDIA|
|Apr 22, 2019||Two preprints out!|
|Jun 29, 2018||Two papers accepted to IROS 2018!|
|Apr 18, 2018||Paper on unsupervised visual odometry accepted to a CVPR 2018 Workshop|
|Apr 11, 2018||New preprint on unsupervised deep visual odmetry learning!|
|Mar 24, 2018||Two more preprints out on arXiv!!|
|Feb 28, 2018||Preprints of accepted ICRA 2018 paper on arXiv!|
|Jan 12, 2018||Two papers accepted to ICRA 2018|