Robust Driving Across Diverse Weather Conditions in Urban Environments
We develop a novel algorithm to train self-driving vehicles that are able to drive well across a diverse range of weather conditions in urban environments.
Recent Posts
Differentiable Volumetric Rendering
Deep neural networks have revolutionized computer vision over the last decade. They excel in 2D-based vision tasks such as object detection, optical flow pre...
Single Image Motion Deblurring
We take advantage of the physical image formation process for self-supervised motion deblurring.
The Road to Safe Self-driving
A simple color patch could severely affect the optical flow prediction systems in autonomous cars.
Texture Fields
Recently, deep learning methods in the 3D domain have gained popularity in the research community. One of the major goals in this area is to reconstruct 3D c...