gradSLAM is accepted to ICRA 2020

Our paper on fully differentiable dense SLAM will be (virtually) presented at ICRA 2020

MonoLayout presented at WACV 2020.

Our paper Monolayout, tackling amodal scene layout estimation from a single image, was presented at WACV 2020. For more details, visit our GitHub repo, or watch this video abstract.

Maplite accepted to RAL; will be presented at ICRA 2020.

Our paper MapLite, tackling autonomous rural intersection navigation without a detailed prior map, is accepted for publication in Robotics and Automation Letters. It will also be presented at the International Conference on Robotics and Automation (ICRA) 2020.

Excited to launch Kaolin- a 3D deep learning library for PyTorch users

During a summer internship at NVIDIA, Toronto, I worked with Prof. Sanja Fidler’s group to build Kaolin: a 3D deep learning framework for PyTorch users.