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Computer Vision Group
Faculty of Informatics
Technical University of Munich

Technical University of Munich

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Rui Wang

Rui Wang


Technische Universität München

Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching

Tel: +49-89-289-17759
Fax: +49-89-289-17757
Office: 02.09.044
Mail: rui.wang@in.tum.de

Brief Bio

I received my Bachelor's degree (2011) in Automation from Xi'an Jiaotong University, and my Master's degree (2014, with distinction) in Electrical Engineering and Information Technology from the Technical University of Munich. From 2014 to 2016 I worked as a computer vision algorithm developer for advanced driver assistance systems (ADAS) at Continental. Since March 2016 I am a PhD student in the Computer Vision Group at the Technical University of Munich, headed by Professor Daniel Cremers.

Find me on Google Scholar, LinkedIn.

Research Interests

Visual Semantic 3D Reconstruction

Visual Odometry / SLAM

  • Stereo DSO This video shows some results of our paper “Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras” accepted by ICCV 2017 (more details).

  • Online Photometric Calibration We've conducted a project to achieve online photometric calibration, where the exposure times of consecutive frames, the camera response function, and the camera vignetting factors can be recovered in real-time. Experiments show that our estimations converge to the ground truth after only a few seconds. Our approach can be used either offline for calibrating existing datasets, or online in combination with state-of-the-art direct visual odometry or SLAM pipelines. For more details please check our paper Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM below. Code is coming soon.

Master Theses / IDP / Guided Research

Please send me your transcripts and CV by email.



Conference and Workshop Papers
Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM (P. Bergmann, R. Wang, D. Cremers), In arXiv:1710.02081, 2017. ([arxiv][video]) [bib]
Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras (R. Wang, M. Schwörer, D. Cremers), In International Conference on Computer Vision (ICCV), 2017. ([supplementary][video][arxiv]) [bib] [pdf]
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect (N. Yang, R. Wang, X. Gao, D. Cremers), In arXiv:1705.04300, 2017. (Improved and extended version.[arxiv]) [bib] [pdf]
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Informatik IX
Chair for Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching