356 citations · 754 across the 15 of their papers we have counts for
20 papers
BLASt3R: Bundle Adjustment of Any Image Set with Multi-View Matching and Monocular Priors
Vincent Leroy, Philippe Weinzaepfel, Lojze Zust +2
Recent hybrid Structure-from-Motion (SfM) systems combine the robustness of feed-forward 3D reconstruction with the accuracy of traditional bundle adjustment (BA) with pixel matchi…
S-MUSt3R: Sliding Multi-view 3D Reconstruction
Leonid Antsfeld, Boris Chidlovskii, Yohann Cabon +2
The recent paradigm shift in 3D vision led to the rise of foundation models with remarkable capabilities in 3D perception from uncalibrated images. However, extending these models…
PanSt3R: Multi-view Consistent Panoptic Segmentation
Lojze Zust, Yohann Cabon, Juliette Marrie +4
Panoptic segmentation of 3D scenes, involving the segmentation and classification of object instances in a dense 3D reconstruction of a scene, is a challenging problem, especially…
MUSt3R: Multi-view Network for Stereo 3D Reconstruction
Yohann Cabon, Lucas Stoffl, Leonid Antsfeld +4
DUSt3R introduced a novel paradigm in geometric computer vision by proposing a model that can provide dense and unconstrained Stereo 3D Reconstruction of arbitrary image collection…
MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion
Bardienus Duisterhof, Lojze Zust, Philippe Weinzaepfel +3
Structure-from-Motion (SfM), a task aiming at jointly recovering camera poses and 3D geometry of a scene given a set of images, remains a hard problem with still many open challeng…
Grounding Image Matching in 3D with MASt3R
Vincent Leroy, Yohann Cabon, Jérôme Revaud
Image Matching is a core component of all best-performing algorithms and pipelines in 3D vision. Yet despite matching being fundamentally a 3D problem, intrinsically linked to came…
DUSt3R: Geometric 3D Vision Made Easy
Shuzhe Wang, Vincent Leroy, Yohann Cabon +2
Multi-view stereo reconstruction (MVS) in the wild requires to first estimate the camera parameters e.g. intrinsic and extrinsic parameters. These are usually tedious and cumbersom…
MFOS: Model-Free & One-Shot Object Pose Estimation
JongMin Lee, Yohann Cabon, Romain Brégier +2
Existing learning-based methods for object pose estimation in RGB images are mostly model-specific or category based. They lack the capability to generalize to new object categorie…
SACReg: Scene-Agnostic Coordinate Regression for Visual Localization
Jerome Revaud, Yohann Cabon, Romain Brégier +2
Scene coordinates regression (SCR), i.e., predicting 3D coordinates for every pixel of a given image, has recently shown promising potential. However, existing methods remain limit…
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow
Philippe Weinzaepfel, Thomas Lucas, Vincent Leroy +7
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 mat…
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion
Philippe Weinzaepfel, Vincent Leroy, Thomas Lucas +7
Masked Image Modeling (MIM) has recently been established as a potent pre-training paradigm. A pretext task is constructed by masking patches in an input image, and this masked con…
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmark
Martin Humenberger, Yohann Cabon, Noé Pion +5
Visual localization, i.e., camera pose estimation in a known scene, is a core component of technologies such as autonomous driving and augmented reality. State-of-the-art localizat…
Large-scale Localization Datasets in Crowded Indoor Spaces
Donghwan Lee, Soohyun Ryu, Suyong Yeon +8
Estimating the precise location of a camera using visual localization enables interesting applications such as augmented reality or robot navigation. This is particularly useful in…
Benchmarking Image Retrieval for Visual Localization
Noé Pion, Martin Humenberger, Gabriela Csurka +2
Visual localization, i.e., camera pose estimation in a known scene, is a core component of technologies such as autonomous driving and augmented reality. State-of-the-art localizat…
Robust Image Retrieval-based Visual Localization using Kapture
Martin Humenberger, Yohann Cabon, Nicolas Guerin +7
Visual localization tackles the challenge of estimating the camera pose from images by using correspondence analysis between query images and a map. This task is computation and da…
Virtual KITTI 2
Yohann Cabon, Naila Murray, Martin Humenberger
This paper introduces an updated version of the well-known Virtual KITTI dataset which consists of 5 sequence clones from the KITTI tracking benchmark. In addition, the dataset pro…
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models
César Roberto de Souza, Adrien Gaidon, Yohann Cabon +2
Deep video action recognition models have been highly successful in recent years but require large quantities of manually annotated data, which are expensive and laborious to obtai…
R2D2: Repeatable and Reliable Detector and Descriptor
Jerome Revaud, Philippe Weinzaepfel, César De Souza +4
Interest point detection and local feature description are fundamental steps in many computer vision applications. Classical methods for these tasks are based on a detect-then-desc…
Procedural Generation of Videos to Train Deep Action Recognition Networks
César Roberto de Souza, Adrien Gaidon, Yohann Cabon +1
Deep learning for human action recognition in videos is making significant progress, but is slowed down by its dependency on expensive manual labeling of large video collections. I…
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon +1
Modern computer vision algorithms typically require expensive data acquisition and accurate manual labeling. In this work, we instead leverage the recent progress in computer graph…