About Me

I am a Machine Learning researcher currently working at XXII

Before working at XXII, I was working at Upstride, which got acquired by ContentSquare. Before that, I was working at ENSTA Paris. There I was a PhD student from 2016 to 2019, and from 2019 to 2021 I was a postdoc researcher. During my PhD, I was advised by Antoine Manzanera, David Filliat and Laure Chevalley (at Parrot).

My research interest focuses mostly on 3D computer vision and geometry.

You can download my PhD thesis here: Robust Learning of a depth map for obstacle avoidance with a monocular stabilized flying camera

Published works

Article
Clément Pinard and Antoine Manzanera

Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the masses

Project / Paper / ArXiV / Hal / Springer / Bib
Talk, Human Talk Paris
Clément Pinard

On the usefulness of imperfect models : Mercator's redemption

project / Talk (in French)
Blog Post, Contensquare Engineering blog
Clément Pinard

A review of SageDB, the Self-Assembling Database System

BlogPost
Conference Paper, ICRA
Varun Ravi Kumar, Sandesh Athni Hiremath, Markus Bach, Christian Witt, Clément Pinard, Senthil Yogamani and Patrick Maeder

Fisheyedistancenet: Self-supervised scale-aware distance estimation using monocular fisheye camera for autonomous driving

Project / Video / Paper / ArXiV / Bib
Phd Thesis
Clément Pinard

Robust Learning of a depth map for obstacle avoidance with a monocular stabilized flying camera

Project / Manuscript / Defense / Hal / Bib
Workshop Paper, GDML Workshop at ECCV18
Clément Pinard, Antoine Manzanera, David Filliat and Laure Chevalley

Learning Structure From Motion From Motion

Project / Paper / Poster / ArXiV / Hal / Bib
Conference Paper, ECMR
Clément Pinard, Antoine Manzanera, David Filliat and Laure Chevalley

Multi range Real-time depth inference from a monocular stabilized footage using a Fully Convolutional Neural Network

Project / Paper / Poster / ArXiV / Hal / Bib
Conference Paper, UAV-g
Clément Pinard, Antoine Manzanera, David Filliat and Laure Chevalley

End-to-end depth from motion with stabilized monocular videos

Project / Paper / Presentation / ArXiV / Hal / Bib