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10/21/2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
One key challenge for multi-task Reinforcement learning (RL) in practice...
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03/28/2022
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels
Self-supervised monocular depth estimation enables robots to learn 3D pe...
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04/26/2021
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
Reasoning about the future behavior of other agents is critical to safe ...
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02/23/2021
An Interaction-aware Evaluation Method for Highly Automated Vehicles
It is important to build a rigorous verification and validation (V V) ...
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11/24/2020
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation
Automated Vehicles require exhaustive testing in simulation to detect as...
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11/11/2020
Behaviorally Diverse Traffic Simulation via Reinforcement Learning
Traffic simulators are important tools in autonomous driving development...
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08/03/2020
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving
In autonomous driving, accurately estimating the state of surrounding ob...
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11/04/2019
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision
We tackle the problem of Human Locomotion Forecasting, a task for jointl...
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06/09/2019
An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition
Vehicle taillight recognition is an important application for automated ...
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10/09/2018
