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09/06/2023
Robotic Table Tennis: A Case Study into a High Speed Learning System
We present a deep-dive into a real-world robotic learning system that, i...
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10/14/2022
Instance Segmentation with Cross-Modal Consistency
Segmenting object instances is a key task in machine perception, with sa...
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06/02/2022
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving
We introduce a motion forecasting (behavior prediction) method that meet...
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03/08/2022
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving
We propose Occupancy Flow Fields, a new representation for motion foreca...
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04/20/2021
Identifying Driver Interactions via Conditional Behavior Prediction
Interactive driving scenarios, such as lane changes, merges and unprotec...
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06/12/2019
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics
We present an approach which takes advantage of both structure and seman...
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11/30/2018
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play
Training robots with physical bodies requires developing new methods and...
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11/28/2018
Future Segmentation Using 3D Structure
Predicting the future to anticipate the outcome of events and actions is...
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11/15/2018
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
Learning to predict scene depth from RGB inputs is a challenging task bo...
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02/15/2018
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
We present a novel approach for unsupervised learning of depth and ego-m...
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09/20/2016
