Celine Teuliere — accepted AI-conference papers

2020

Blur Aware Calibration of Multi-Focus Plenoptic Camera

Mathieu Labussiere, Celine Teuliere, Frederic Bernardin, Omar Ait-Aider

CVPR 2020oral

This paper presents a novel calibration algorithm for Multi-Focus Plenoptic Cameras (MFPCs) using raw images only. The design of such cameras is usually complex and relies on precise placement of optic elements. Several calibration procedures have been proposed to retrieve the camera parameters but…

Cited by 14 PDF ↗code ↗Scholar ↗

2017

Deep MANTA: A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image

Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Celine Teuliere, Thierry Chateau

CVPR 2017poster

In this paper, we present a novel approach, called Deep MANTA (Deep Many-Tasks), for many-task vehicle analysis from a given image. A robust convolutional network is introduced for simultaneous vehicle detection, part localization, visibility characterization and 3D dimension estimation. Its archite…

Cited by 564 PDF ↗Scholar ↗