3 citations · 5 across the 13 of their papers we have counts for
16 papers
Pixel-wise Planarity for High-Precision Monocular Plane Segmentation
Ahmetcan Yavuz, Alpay Ozkan, Rémi Pautrat +2
Plane segmentation from a single RGB image remains challenging due to imprecise region grouping and geometrically inconsistent supervision, often leading to over-segmentation and f…
Stable and Scalable Bundle Adjustment of Holistic 3D Structures
Shaohui Liu, Rémi Pautrat, Daniel Barath +3
Bundle Adjustment (BA) is a cornerstone of 3D computer vision and has benefited from decades of advances in sparse optimization and numerical methods. It was originally developed f…
Unified and Efficient Point-Line Local Features
François Costa, Raphael Kreft, Eckhard Goedeke +6
Multi-view computer vision pipelines typically rely on accurate sparse keypoints and robust descriptors. While incorporating line features has shown clear benefits for matching and…
PolyLayout: Multi-room Manhattan Layout Estimation
Gustav Hanning, Shaohui Liu, Rémi Pautrat +3
Estimating room layouts from multi-view imagery is a core task for indoor scene understanding. Existing methods are typically limited either by poor generalization to new datasets…
LightGlueStick: a Fast and Robust Glue for Joint Point-Line Matching
Aidyn Ubingazhibov, Rémi Pautrat, Iago Suárez +3
Lines and points are complementary local features, whose combination has proven effective for applications such as SLAM and Structure-from-Motion. The backbone of these pipelines a…
Benchmarking Egocentric Visual-Inertial SLAM at City Scale
Anusha Krishnan, Shaohui Liu, Paul-Edouard Sarlin +6
Precise 6-DoF simultaneous localization and mapping (SLAM) from onboard sensors is critical for wearable devices capturing egocentric data, which exhibits specific challenges, such…
Relative Pose Estimation through Affine Corrections of Monocular Depth Priors
Yifan Yu, Shaohui Liu, Rémi Pautrat +2
Monocular depth estimation (MDE) models have undergone significant advancements over recent years. Many MDE models aim to predict affine-invariant relative depth from monocular ima…
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization
Siyan Dong, Shuzhe Wang, Shaohui Liu +4
Visual localization aims to determine the camera pose of a query image relative to a database of posed images. In recent years, deep neural networks that directly regress camera po…
Robust Incremental Structure-from-Motion with Hybrid Features
Shaohui Liu, Yidan Gao, Tianyi Zhang +4
Structure-from-Motion (SfM) has become a ubiquitous tool for camera calibration and scene reconstruction with many downstream applications in computer vision and beyond. While the…
3D Neural Edge Reconstruction
Lei Li, Songyou Peng, Zehao Yu +4
Real-world objects and environments are predominantly composed of edge features, including straight lines and curves. Such edges are crucial elements for various applications, such…
NeRFs in Robotics: A Survey
Guangming Wang, Lei Pan, Songyou Peng +7
Detailed and realistic 3D environment representations have been a long-standing goal in the fields of computer vision and robotics. The recent emergence of neural implicit represen…
Handbook on Leveraging Lines for Two-View Relative Pose Estimation
Petr Hruby, Shaohui Liu, Rémi Pautrat +2
We propose an approach for estimating the relative pose between calibrated image pairs by jointly exploiting points, lines, and their coincidences in a hybrid manner. We investigat…
Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction
Rémi Pautrat, Shaohui Liu, Petr Hruby +2
We tackle the problem of estimating a Manhattan frame, i.e. three orthogonal vanishing points, and the unknown focal length of the camera, leveraging a prior vertical direction. Th…
Lazy Visual Localization via Motion Averaging
Siyan Dong, Shaohui Liu, Hengkai Guo +2
Visual (re)localization is critical for various applications in computer vision and robotics. Its goal is to estimate the 6 degrees of freedom (DoF) camera pose for each query imag…
3D Line Mapping Revisited
Shaohui Liu, Yifan Yu, Rémi Pautrat +2
In contrast to sparse keypoints, a handful of line segments can concisely encode the high-level scene layout, as they often delineate the main structural elements. In addition to o…
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
Wang Zhao, Shaohui Liu, Hengkai Guo +2
Estimating the pose of a moving camera from monocular video is a challenging problem, especially due to the presence of moving objects in dynamic environments, where the performanc…