Search Results for author: Romain Brégier

Found 11 papers, 5 papers with code

Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow

no code implementations18 Nov 2022 Philippe Weinzaepfel, Thomas Lucas, Vincent Leroy, Yohann Cabon, Vaibhav Arora, Romain Brégier, Gabriela Csurka, Leonid Antsfeld, Boris Chidlovskii, Jérôme Revaud

Despite impressive performance for high-level downstream tasks, self-supervised pre-training methods have not yet fully delivered on dense geometric vision tasks such as stereo matching or optical flow.

Optical Flow Estimation Self-Supervised Learning +1

CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion

1 code implementation19 Oct 2022 Philippe Weinzaepfel, Vincent Leroy, Thomas Lucas, Romain Brégier, Yohann Cabon, Vaibhav Arora, Leonid Antsfeld, Boris Chidlovskii, Gabriela Csurka, Jérôme Revaud

More precisely, we propose the pretext task of cross-view completion where the first input image is partially masked, and this masked content has to be reconstructed from the visible content and the second image.

Depth Estimation Depth Prediction +6

PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling

1 code implementation22 Aug 2022 Fabien Baradel, Romain Brégier, Thibault Groueix, Philippe Weinzaepfel, Yannis Kalantidis, Grégory Rogez

It is simple, generic and versatile, as it can be plugged on top of any image-based model to transform it in a video-based model leveraging temporal information.

Pose Estimation Pose Prediction

Leveraging MoCap Data for Human Mesh Recovery

1 code implementation18 Oct 2021 Fabien Baradel, Thibault Groueix, Philippe Weinzaepfel, Romain Brégier, Yannis Kalantidis, Grégory Rogez

In fact, we show that simply fine-tuning the batch normalization layers of the model is enough to achieve large gains.

Ranked #3 on 3D Human Pose Estimation on MPI-INF-3DHP (Acceleration Error metric)

3D Human Pose Estimation 3D Human Reconstruction +2

Deep Regression on Manifolds: A 3D Rotation Case Study

1 code implementation30 Mar 2021 Romain Brégier

Many machine learning problems involve regressing variables on a non-Euclidean manifold -- e. g. a discrete probability distribution, or the 6D pose of an object.


DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild

1 code implementation ECCV 2020 Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy, Grégory Rogez

We introduce DOPE, the first method to detect and estimate whole-body 3D human poses, including bodies, hands and faces, in the wild.

3D Pose Estimation

Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network

no code implementations4 Jan 2018 Matthieu Grard, Romain Brégier, Florian Sella, Emmanuel Dellandréa, Liming Chen

We thus propose a step towards a practical interactive application for generating an object-oriented robotic grasp, requiring as inputs only one depth map of the scene and one user click on the next object to extract.

Instance Segmentation object-detection +3

Defining the Pose of any 3D Rigid Object and an Associated Distance

no code implementations14 Dec 2016 Romain Brégier, Frédéric Devernay, Laetitia Leyrit, James Crowley

The pose of a rigid object is usually regarded as a rigid transformation, described by a translation and a rotation.

Pose Estimation

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