Contents

• 3d perception
• deep reinforcement learning
• domain adaptation
• driving
• explainability
• interpretability
• limited supervision
• multi-sensor
• object detection
• reliability
• self-driving
• semantic segmentation
• survey

3d perception

valeo.ai at CVPR 2022 • Jun 14, 2022

valeo.ai at ICCV 2021 • Oct 8, 2021

deep reinforcement learning

Is Deep Reinforcement Learning Really Superhuman on Atari? • Oct 19, 2020

domain adaptation

valeo.ai at CVPR 2022 • Jun 14, 2022

valeo.ai at ICCV 2021 • Oct 8, 2021

ADVENT - Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation • Jul 7, 2020

driving

PLOP: Probabilistic poLynomial Objects trajectory Prediction for autonomous driving • Nov 26, 2020

explainability

How can we make driving systems explainable? • Feb 18, 2021

interpretability

How can we make driving systems explainable? • Feb 18, 2021

limited supervision

valeo.ai at CVPR 2022 • Jun 14, 2022

valeo.ai at ICCV 2021 • Oct 8, 2021

multi-sensor

valeo.ai at CVPR 2022 • Jun 14, 2022

valeo.ai at ICCV 2021 • Oct 8, 2021

PLOP: Probabilistic poLynomial Objects trajectory Prediction for autonomous driving • Nov 26, 2020

object detection

ADVENT - Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation • Jul 7, 2020

reliability

valeo.ai at ICCV 2021 • Oct 8, 2021

self-driving

How can we make driving systems explainable? • Feb 18, 2021

semantic segmentation

ADVENT - Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation • Jul 7, 2020

survey

How can we make driving systems explainable? • Feb 18, 2021