activity
20172023
most citedStereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras

45 citations · 150 across the 18 of their papers we have counts for

collaborators

19 papers

cs.CV2023

4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions

Patrick Wenzel, Nan Yang, Rui Wang +2

In this paper, we present a novel visual SLAM and long-term localization benchmark for autonomous driving in challenging conditions based on the large-scale 4Seasons dataset. The p…

cs.CV2022★ 5 cited

CASSPR: Cross Attention Single Scan Place Recognition

Yan Xia, Mariia Gladkova, Rui Wang +4

Place recognition based on point clouds (LiDAR) is an important component for autonomous robots or self-driving vehicles. Current SOTA performance is achieved on accumulated LiDAR…

cs.CV2021

Improving Deep Image Matting via Local Smoothness Assumption

Rui Wang, Jun Xie, Jiacheng Han +1

Natural image matting is a fundamental and challenging computer vision task. Conventionally, the problem is formulated as an underconstrained problem. Since the problem is ill-pose…

cs.CV2021

3D Reconstruction Using a Linear Laser Scanner and a Camera

Rui Wang

With the rapid development of computer graphics and vision, several three-dimensional (3D) reconstruction techniques have been proposed and used to obtain the 3D representation of…

cs.RO2021★ 1 cited

Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined Spaces

Rui Wang, Yinglong Miao, Kostas E. Bekris

Prehensile object rearrangement in cluttered and confined spaces has broad applications but is also challenging. For instance, rearranging products in a grocery shelf means that th…

cs.RO2021

Online Object Model Reconstruction and Reuse for Lifelong Improvement of Robot Manipulation

Shiyang Lu, Rui Wang, Yinglong Miao +2

This work proposes a robotic pipeline for picking and constrained placement of objects without geometric shape priors. Compared to recent efforts developed for similar tasks, where…