Maximilian Jaritz

End-to-End Race Driving with Deep Reinforcement Learning

Fawzi Nashashibi, Etienne Perot, Raoul de Charette, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation

Fawzi Nashashibi, Raoul de Charette, Xavier Perrotton, 2018, 2018 International Conference on 3D Vision (3DV).

End-to-End Driving in a Realistic Racing Game with Deep Reinforcement Learning

Etienne Perot, Raoul de Charette, Marin Toromanoff, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Multi-View PointNet for 3D Scene Understanding

Hao Su, Jiayuan Gu, Maximilian Jaritz, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation pdf

Patrick Pérez, Raoul de Charette, Maximilian Jaritz, 2021, ArXiv.

New Results - Deep Reinforcement Learning for end-to-end driving

Fawzi Nashashibi, Raoul de Charette, Maximilian Jaritz, 2017 .

2D-3D scene understanding for autonomous driving

Maximilian Jaritz, M. Jaritz, 2020 .

2D-3D scene understanding for autonomous driving. (Compréhension 2D-3D de scènes pour la conduite autonome)

Maximilian Jaritz, 2020 .

xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

Raoul de Charette, Patrick Pérez, Maximilian Jaritz, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).