Philippe Weinzaepfel | DeepAI

DeepAI

Featured Co-authors

Cordelia Schmid
134 publications
Vincent Lepetit
73 publications
Ville Kyrki
68 publications
Vittorio Ferrari
68 publications
Tae-Kyun Kim
62 publications
Junsong Yuan
56 publications
Francesc Moreno-Noguer
49 publications
Angela Yao
48 publications
Torsten Sattler
47 publications
Zaid Harchaoui
46 publications
Yang Xiao
38 publications

∙ 11/18/2022

Improved Cross-view Completion Pre-training for Stereo Matching

Despite impressive performance for high-level downstream tasks, self-sup...

Philippe Weinzaepfel, et al. ∙

∙ 11/14/2022

Multi-Finger Grasping Like Humans

Robots with multi-fingered grippers could perform advanced manipulation ...

Yuming Du, et al. ∙

∙ 10/21/2022

PoseScript: 3D Human Poses from Natural Language

Natural language is leveraged in many computer vision tasks such as imag...

Ginger Delmas, et al. ∙

∙ 10/19/2022

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

Masked Image Modeling (MIM) has recently been established as a potent pr...

Philippe Weinzaepfel, et al. ∙

∙ 10/19/2022

PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting

We address the problem of action-conditioned generation of human motion ...

Thomas Lucas, et al. ∙

∙ 08/22/2022

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

Training state-of-the-art models for human pose estimation in videos req...

Fabien Baradel, et al. ∙

∙ 05/31/2022

Investigating the Role of Image Retrieval for Visual Localization – An exhaustive benchmark

Visual localization, i.e., camera pose estimation in a known scene, is a...

Martin Humenberger, et al. ∙

∙ 01/31/2022

Learning Super-Features for Image Retrieval

Methods that combine local and global features have recently shown excel...

Philippe Weinzaepfel, et al. ∙

∙ 12/22/2021

Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images

This paper tackles the problem of semi-supervised learning when the set ...

Thomas Lucas, et al. ∙

∙ 10/18/2021

Leveraging MoCap Data for Human Mesh Recovery

Training state-of-the-art models for human body pose and shape recovery ...

Fabien Baradel, et al. ∙

∙ 05/19/2021

Large-scale Localization Datasets in Crowded Indoor Spaces

Estimating the precise location of a camera using visual localization en...

Donghwan Lee, et al. ∙

∙ 12/17/2020

Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps

While there exists a large number of methods for manipulating rigid obje...

Jens Lundell, et al. ∙

∙ 12/04/2020

SMPLy Benchmarking 3D Human Pose Estimation in the Wild

Predicting 3D human pose from images has seen great recent improvements....

Vincent Leroy, et al. ∙

∙ 10/02/2020

Hard Negative Mixing for Contrastive Learning

Contrastive learning has become a key component of self-supervised learn...

Yannis Kalantidis, et al. ∙

∙ 08/21/2020

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

We introduce DOPE, the first method to detect and estimate whole-body 3D...

Philippe Weinzaepfel, et al. ∙

∙ 03/30/2020

Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction

In this work, we study how well different type of approaches generalise ...

Anil Armagan, et al. ∙

∙ 12/16/2019

Mimetics: Towards Understanding Human Actions Out of Context

Recent methods for video action recognition have reached outstanding per...

Philippe Weinzaepfel, et al. ∙

∙ 06/14/2019

R2D2: Reliable and Repeatable Detectors and Descriptors for Joint Sparse Keypoint Detection and Local Feature Extraction

Interest point detection and local feature description are fundamental s...

Jerome Revaud, et al. ∙

∙ 06/14/2019

R2D2: Repeatable and Reliable Detector and Descriptor

Interest point detection and local feature description are fundamental s...

Jerome Revaud, et al. ∙

∙ 03/01/2018

LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images

We propose an end-to-end architecture for joint 2D and 3D human pose est...

Grégory Rogez, et al. ∙

∙ 05/04/2017

Action Tubelet Detector for Spatio-Temporal Action Localization

Current state-of-the-art approaches for spatio-temporal action localizat...

Vicky Kalogeiton, et al. ∙

∙ 06/25/2015

DeepMatching: Hierarchical Deformable Dense Matching

We introduce a novel matching algorithm, called DeepMatching, to compute...

Jerome Revaud, et al. ∙

∙ 06/05/2015

Learning to track for spatio-temporal action localization

We propose an effective approach for spatio-temporal action localization...

Philippe Weinzaepfel, et al. ∙

∙ 01/12/2015

EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow

We propose a novel approach for optical flow estimation , targeted at la...

Jerome Revaud, et al. ∙