My research focuses on deep scene understanding from 2D images or 3D data (stereo, lidar, etc.), with an emphasis on vision in bad weather. At Inria, I lead a computer vision group of students/engineers with ongoing subjects on unsupervised domain adpatation, generative networks, reinforcement learning, 3D reconstruction, segmentation, vision in adverse weather, etc. Most of my research is applied to vision for autonomous driving.
In the past I’ve worked in Centre for Robotics of Mines ParisTech [2008-2012] (France), in the Ilim Team of the Robotics Institute at Carnegie Mellon Uni.  (USA) and at Uni. of Makedonia  (Greece).
Our new weather-augmented dataset (inc. rain+fog+depth) is out.
Fabio Pizzati (PhD) and Pranav Agarwal (intern) recently joined the group.
Our paper got accepted at ICCV’19 !
Giving a talk at Uni. Laval, Quebec
1 paper accepted at ITSC’19
Visiting Jean-François Lalonde and his group 1 week at Uni. Laval, Quebec
Popularization talk for visiting undergrads, at Inria
Giving a series of talks in schools on Artificial Intelligence
New PhD student, F. Pizzati, in collaboration with Vislab on Domain Adaptation
Lecture on machine learning for high school teachers
Teaching a master class on Computer Vision at Mines ParisTech
Welcoming Jean-François Lalonde from Uni. Laval (Canada) in our team for 1 week.
My PhD student M. Jaritz is doing 5 months visit at USCD, in Su Lab. Enjoy.
One paper accepted at 3DV’18
A couple of interviews with media about artificial intelligence and autonomous driving.
Papers accepted at ICRA’18 and IPIN’18
One new T-ITS journal paper and 1 arXiv preprint
Giving 1 week master class at USB (Venezuela) on Computer vision for Autonomous Driving. Thanks Gerardo Fernandez for the invit
Giving a talk at Adomik, Paris
Computer Vision group
- Maximilian Jaritz
PhDDeep learning fusion for heterogeneous multi-sensor vision
- Luis Roldão
PhDFine 3D reconstruction of points clouds(co-supervision A. Verroust-Blondet)
- Fabio Pizzati
PhDUn/Self-supervised semantic segmentation(co-supervision P. Cerri)
- Pierre de Beaucorps
Post-docDeep reinforcement learning
- Pranav Agarwal
BS(from IIT Kharagpur, India)3D reconstruction with deep learning
- Pierre Bourré
- KV Manohar
BS’19(from IIIT Guwahati, India)3D completion networks
- Shirsendu Halder
BS’19(from IIT Roorkee, India)Computer Vision in degraded weather conditions(co-supervision J-F. Lalonde)
- Sule Kahraman
BS’17(from M.I.T., USA)Influence of Fog on Computer Vision Algorithms
- Ziyang Hong
MS’17(from Uni. of Burgundy, France)Deep learning object recognition frameworks
- Aitor Gomez Torres
MS’17(from INSIA, Spain)Rain and computer vision
- Rafael Colmenares
MS’17(from Uni. Simon Bolivar, Venezuela)Spatio-temporal graph based energy minimization for road segmentation
- Pablo Marin
PhD intern’16(from Uni. Carlos III de Madrid, Spain)
- Alexis Meyer
MS’16(from Telecom Sud Paris, France)Monocular Ego Velocity Estimation, Research report
- Kenneth J. M. Torres
MS’16(from Uni. del Turabo, Puerto Rico)
Check also my Google Scholar for more items.
- PhD funding Vislab Ambarella. 2019-2021
- Grant Samuel de Champlain with Jean-Francois Lalonde, from Univ. Laval, Quebec, canada on “Computer Vision in complex conditions”. 2018-2020
- PhD funding Valeo AI / Valeo. 2017-2020
- PhD funding Akka Research. 2017-2020
- French National Research Project. ANR Campus. 2018-2020
- FUI project PACV2x. 2017-2020