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Valeo.ai

We are building an artificial intelligence research center for automotive applications based in the center of Paris to conduct ambitious research projects, in particular in assisted and autonomous driving

Multi-sensor perception

Automated driving relies first on a diverse range of sensors, like Valeo’s cameras, LiDARs, radars and ultrasonics. Exploiting at best the outputs of each of these sensors at any instant is fundamental to understand the complex environment of the vehicle. To this end, we explore various deep learning approaches where sensors are considered both in isolation and collectively.

Valeo Sensors
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Domain adaptation

Deep learning and reinforcement learning are key technologies for autonomous driving. One of the challenges they face is to adapt to conditions which differ from those met during training. To improve systems’ performance in such situations, we explore so-called domain adaption techniques, as in AdvEnt, our project presented at CVPR 2019.

Uncertainty estimation

When the unexpected happens, when the weather badly degrades, when a sensor gets blocked, the embarked perception system should diagnose the situation and react accordingly, e.g, by calling an alternative system or the human driver. With this in mind, we investigate automatic ways to assess the uncertainty of a system and to predict its performance.

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Meet our team

hedi-ben-younes

Research Scientist

Hedi Ben-younes

hedi-ben-younes

Research Scientist

Deep Learning | Vision and Language | Visual reasoning

Supelec | Heuritech | SorbonneU

Kebab practitioner

Maxime-BUCHER

Research Scientist

Maxime Bucher

Maxime-BUCHER

Research Scientist

Deep Learning | Vision and Language

Paris-Sud | ONERA | UNICAEN

Rookie bodybuilder 

 

Andrei-BURSUC

Research Scientist

Andrei Bursuc

Andrei-BURSUC

Research Scientist

Machine Learning | Computer Vision | Visual Search | Autonomous systems

Politehnica | Mines | Inria | Safran

Random walker

   

Charles-CORBIERE

PHD student

Charles Corbière

Charles-CORBIERE

PHD student

Deep Learning | Computer Vision | Uncertainty

Centrale | ParisSaclay | Heuritech | Earthcube | CNAM

Self-supervised disc-jokey

 

Matthieu-CORD

Principal scientist

Matthieu Cord

Matthieu-CORD

Principal scientist

Deep Learning | Computer Vision | Vision and Language

Enseirb | CergyU | KULeuven | Ensea | CNRS | SorbonneU | IUF

Top chef

 

spyros-gidaris

Research Scientist

Spyros Gidaris

spyros-gidaris

Research Scientist

Deep Learning | Computer Vision

AUTH | Cortexica | ENPC

Life-loving epicurean

 

OK David-Hurych

Research Scientist

David Hurych

OK David-Hurych

Research Scientist

Machine Learning | Computer Vision | Generative Networks

CTU-Prague | NII-Tokyo

Curious being

himalaya-jain

Research Scientist

Himalaya Jain

himalaya-jain

Research Scientist

Deep Learning | Computer Vision

IIIT-H | Technicolor | Inria

Keen explorer

  

Maximilian-JARITZ

PHD student

Maximilian Jaritz

Maximilian-JARITZ

PHD student

Joint 2D-3D Scene Understanding

TU Berlin | Centrale | Inria | UCSD

Funky drummer

  

Pascal-LE-HERISSE

HR Partner

Pascal Le Hérissé

Pascal-LE-HERISSE

HR Partner

Panthéon-Sorbonne | Marriott | Saint-Gobain | Faurecia

MisChief of Staff

Renaud Marlet (2)

Principal scientist

Renaud Marlet

Renaud Marlet (2)

Principal scientist

Computer Vision | Photogrammetry | Geometry Processing

X | Inria | EdinburgU | Simulog | Inria | TrustedLogic | Inria | ENPC

Persistent eclectist

 

Gabriel-DE-MARMIESSE

Research Engineer

Gabriel de Marmiesse

Gabriel-DE-MARMIESSE

Research Engineer

Deep Learning for compression | Neural Network Performance

Telecom | Technicolor | Teraki

Open source musician

Arthur-OUAKNINE

PHD student

Arthur Ouaknine

Arthur-OUAKNINE

PHD student

Deep Learning | Machine Learning | Signal Processing

Panthéon-Sorbonne | Telecom | Zyl | Telecom

Creative traveller

Patrick-PEREZ

Scientific Director

Patrick Pérez

Patrick-PEREZ

Scientific Director

Machine Learning | Computer Vision | Computational Imaging | Signal & Image Processing

Centrale | Inria | BrownU | Inria | Microsoft | Inria |Technicolor

Passionate reader

 

unknown

Research Scientist

Julien Rebut

unknown

Research Scientist

Deep Learning | Computer Vision

INSA | ValeoVS | ValeoCDA

Snow lover

Simon-ROBURIN

PHD student

Simon Roburin

Simon-ROBURIN

PHD student

Deep Learning | Machine Learning | Applied Mathematics | Generalization

Centrale | Prophesee | ENPC

Brownian mover

Antoine-SAPORTA

PHD student

Antoine Saporta

Antoine-SAPORTA

PHD student

Deep Learning | Computer Vision | Domain Adaptation

X | TU-Munich | SorbonneU

Adaptive mind

unknown

PhD Student

Marin Toromanoff

unknown

PhD Student

Reinforcement Learning

Supelec | Mines

Reinforcement learner

huy-van-vo

PHD student

Huy Van Vo

huy-van-vo

PHD student

Computer Vision | Machine Learning

X | Technicolor | MVA | NYU | Inria

Hard thinker

Tuan-Hung-VU

Research scientist

Tuan-Hung Vu

Tuan-Hung-VU

Research scientist

Deep Learning | Computer Vision

Telecom | Inria | NEC

Protein lover

  

Recent Activities

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Valeo.ai researchers present eight papers, including 4 orals at the premier annual computer vision conference in June 2019.

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Himalaya Jain, researcher at valeo.ai, receives the Best Thesis Prize from Rennes 1 Foundation in April 2019.

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Spyros Gidaris, researcher at Valeo.ai, receives the Best Thesis Prize from Ponts Foundation in June 2019.

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Valeo is proud to be part of Prairie, the new Paris Interdisciplinary Artificial Intelligence Institute – May 2019.

Partners

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