Maximilian Jaritz

Email: maximilian.jaritz at inria.fr

I will join Amazon Robotics AI in Berlin in September 2020!

I did my PhD with Raoul de Charette at Inria and Emilie Wirbel at Valeo. Since its creation, I was also part of Valeo.ai, led by Patrick Pérez.  In my 2nd PhD year, I have spent 4.5 months as visiting student at Hao Su’s lab at UC San Diego. My research interests are in 3D Computer Vision, Domain Adaptation, 2D-3D Fusion, Reinforcement Learning.

News

• 26 June 2020: I have defended my PhD 🙂
• 26 May 2020: I gave a virtual talk at GdR Isis “Vision 3D et Apprentissage”.
• 24 Feb 2020: xMUDA accepted at CVPR 2020!
• 12 Jan 2020: Code for MVPNet released.
• 20 Nov 2019: I have given a talk about my work to Master students at Mines ParisTech.
• 10 Aug 2018: Excited to announce that I will be joining Hao Su at UCSD for a 4.5 month PhD visit starting in October!
• 24 Jul 2018: One paper accepted at 3DV 2018!
• 18 Mar 2018: I was cited in an article about autonomous driving in the science magazine Sciences et Avenir.
• 19 Feb 2018: I was filmed at the Inria and Industry event to explain our work on End-to-end Driving.

Publications

Google Scholar

2020

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

M. Jaritz, T-H. Vu, R. de Charette, E. Wirbel, P. Pérez

CVPR 2020

[arxiv] – [code] – [explanation video]

2019

Multi-view PointNet for 3D Scene Understanding

M. Jaritz, J. Gu, H. Su

ICCV Workshop 2019

[arxiv] – [code]

2018

Sparse and dense data with CNNs: Depth completion and semantic segmentation

M. Jaritz, R. de Charette, E. Wirbel, X. Perrotton, F. Nashashibi

3DV 2018

[arxiv]

End-to-end race driving with deep reinforcement learning

M. Jaritz, R. de Charette, M. Toromanoff, E. Perot, F. Nashashibi

ICRA 2018

[Project page] – [PDF] – [video] – [poster]

2017

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

E. Perot, M. Jaritz, M. Toromanoff, R. de Charette

CVPR Workshop 2017

[Project page] – [PDF] – [video] – [poster]