We present a deep-dive into a real-world robotic learning system that, i...
Segmenting object instances is a key task in machine perception, with
sa...
We introduce a motion forecasting (behavior prediction) method that meet...
We propose Occupancy Flow Fields, a new representation for motion foreca...
Interactive driving scenarios, such as lane changes, merges and unprotec...
We present an approach which takes advantage of both structure and seman...
Training robots with physical bodies requires developing new methods and...
Predicting the future to anticipate the outcome of events and actions is...
Learning to predict scene depth from RGB inputs is a challenging task bo...
We present a novel approach for unsupervised learning of depth and ego-m...
We consider the problem of next frame prediction from video input. A
rec...