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11/12/2021
DriverGym: Democratising Reinforcement Learning for Autonomous Driving
Despite promising progress in reinforcement learning (RL), developing al...
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09/27/2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
In this work we are the first to present an offline policy gradient meth...
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05/26/2021
SimNet: Learning Reactive Self-driving Simulations from Real-world Observations
In this work, we present a simple end-to-end trainable machine learning ...
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07/08/2020
Robust Re-Identification by Multiple Views Knowledge Distillation
To achieve robustness in Re-Identification, standard methods leverage tr...
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07/01/2020
Future Urban Scenes Generation Through Vehicles Synthesis
In this work we propose a deep learning pipeline to predict the visual f...
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06/25/2020
One Thousand and One Hours: Self-driving Motion Prediction Dataset
We present the largest self-driving dataset for motion prediction to dat...
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07/24/2019
Semi-parametric Object Synthesis
We present a new semi-parametric approach to synthesize novel views of a...
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02/13/2019
