Direkt zum Inhalt springen
Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

Menu

Links

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More


Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Next revision Both sides next revision
members:wangr [2019/05/07 01:12]
Rui Wang
members:wangr [2020/07/03 21:08]
Rui Wang
Line 2: Line 2:
  
 ==== News ==== ==== News ====
-  * [10.2018] The code for LDSO (Direct Sparse Odometry with Loop Closure) has been released! Please visit the [[https://vision.in.tum.de/research/vslam/ldso|project page]] for details.+  * [07.2020] Our paper "DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization" is accepted by ECCV 2020 (spotlight). Stay tuned. 
 +  * [05.2020] We are organizing a workshop together with a challenge on [[https://sites.google.com/view/mlad-eccv2020|Map-based Localization for Autonomous Driving]] at ECCV 2020, Glasgow, UK. 
 +  * [05.2020] The results of Stereo DSO on KITTI Odometry test set are uploaded to the [[https://vision.in.tum.de/research/vslam/stereo-dso|project page]].  
 +  * [02.2020] D3VO is accepted by CVPR 2020.([[https://arxiv.org/abs/2003.01060|arxiv]]) 
 +  * [01.2020] DirectShape has been accepted by ICRA 2020. It is an optimization pipeline that estimates the 3D poses and shapes of cars directly from a stereo image pair, no 3D points are needed. ([[https://vision.in.tum.de/research/vslam/direct-shape|project page]]) 
 +  * [10.2018] The code for LDSO (Direct Sparse Odometry with Loop Closure) has been released! ([[https://vision.in.tum.de/research/vslam/ldso|project page]]).
   * [07.2018] We have one paper accepted by ECCV'18 (oral) and two papers accepted by IROS'18.   * [07.2018] We have one paper accepted by ECCV'18 (oral) and two papers accepted by IROS'18.
-  * [06-12.2018] I will be interning with Prof. Dieter Fox in the recently founded Nvidia Robotics Research Lab in Seattle. +  * [06-12.2018] I will be interning with Prof. Dieter Fox in the Nvidia Robotics Research Lab in Seattle. 
   * [05.2018] We have released our code for Online Photometric Calibration! Please find the link on the [[https://vision.in.tum.de/research/vslam/photometric-calibration|project page]]. The paper was recently nominated by ICRA'18 for the Best Vision Paper Award.    * [05.2018] We have released our code for Online Photometric Calibration! Please find the link on the [[https://vision.in.tum.de/research/vslam/photometric-calibration|project page]]. The paper was recently nominated by ICRA'18 for the Best Vision Paper Award. 
-  * [03.2018] I join [[https://www.artisense.ai/|Artisense]], a startup co-founded by Prof. Daniel Cremers, as a PhD Student and Senior Computer Vision & AI Researcher. 
  
  
 ==== Brief Bio ==== ==== Brief Bio ====
 I received my Bachelor's degree (2011) in Automation from Xi'an Jiaotong University, and my Master's degree (2014) in Electrical Engineering and Information Technology from the Technical University of Munich.  I received my Bachelor's degree (2011) in Automation from Xi'an Jiaotong University, and my Master's degree (2014) 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**. My research interests include visual SLAM and visual 3D reconstruction, as well as their combinations with semantic information.  +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. In 2018 I joined [[https://www.artisense.ai/|Artisense]], a startup co-founded by Professor Cremers, as a PhD student and senior computer vision & AI researcher. My research interests include visual SLAM and visual 3D reconstruction, as well as their combinations with semantic information. I am planning to finish my PhD in 2020. 
  
 Find me on [[https://scholar.google.de/citations?user=buN3yw8AAAAJ&hl=en|Google Scholar]], Find me on [[https://scholar.google.de/citations?user=buN3yw8AAAAJ&hl=en|Google Scholar]],
- [[https://www.linkedin.com/in/rui-wang-5367398a|LinkedIn]], [[https://www.strava.com/athletes/22551758|Strava]].+ [[https://www.linkedin.com/in/rui-wang-5367398a|LinkedIn]], [[https://www.strava.com/athletes/22551758|Strava]] (highly research related).
  
 ==== Research Interests ==== ==== Research Interests ====
Line 20: Line 24:
 === Semantic VO / SLAM === === Semantic VO / SLAM ===
  
-  * ** Direct Shape ** This video shows the basic idea and some results of our paper "DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation". In this work, we estimate the 3D poses and shapes of cars based on a single stereo image pair. For more details please refer to the paper [[https://arxiv.org/abs/1904.10097|arXiv]]. (The project page is under construction.) +  * ** DirectShape ** This video shows the basic idea and some results of our paper "DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation". In this work, we estimate the 3D poses and shapes of cars based on a single stereo image pair. ** Note that the point clouds in the video are only for visualization purpose, they are not used in our method. ** For more details please refer to the [[https://vision.in.tum.de/research/vslam/direct-shape|Project Page]]. 
 <html><center><iframe width="640" height="360" src="https://www.youtube.com/embed/QqP6zdx5OKw" frameborder="0" allowfullscreen></iframe></center></html> <html><center><iframe width="640" height="360" src="https://www.youtube.com/embed/QqP6zdx5OKw" frameborder="0" allowfullscreen></iframe></center></html>
 <html><br /></html> <html><br /></html>
Line 40: Line 44:
 <html><br /></html> <html><br /></html>
  
-=== Deep Learning Boosted VO / SLAM ===+=== VO / SLAM with Deep Learning ===
  
-  * ** Deep Virtual Stereo Odometry (DVSO) ** In this project we design a novel deep network and train it in a semi-supervised way to predict depth map from single image, and integrate the depth map into DSO as virtual stereo measurement. Being a monocular VO approach, DVSO achieves comparable performance to the state-of-the-art stereo methods. ([[:research:vslam:dvso|Project Page]])+  * ** DVSO: Deep Virtual Stereo Odometry ** In this project we design a novel deep network and train it in a semi-supervised way to predict depth map from single image, and integrate the depth map into DSO as virtual stereo measurement. Being a monocular VO approach, DVSO achieves comparable performance to the state-of-the-art stereo methods. ([[https://vision.in.tum.de/research/vslam/dvso|Project Page]])
 <html><center><iframe width="640" height="360" <html><center><iframe width="640" height="360"
 src="https://www.youtube.com/embed/sLZOeC9z_tw" frameborder="0" allowfullscreen></iframe> src="https://www.youtube.com/embed/sLZOeC9z_tw" frameborder="0" allowfullscreen></iframe>
Line 54: Line 58:
 <html><br /></html> <html><br /></html>
  
-==== Master Theses / IDP / Guided Research ==== 
-Please send me your transcripts and CV by email.  
  
 ==== Teaching ==== ==== Teaching ====
Line 64: Line 66:
  
 ==== Service ==== ==== Service ====
-Reviewer: CVPR, ICCV, ICRA, IROS, RA-L+  * Conference reviewer: CVPR, ICCV, ECCV, ICRA, IROS, AAAI 
 +  * Journal reviewer: RA-L, T-RO, AURO
  
 ==== Publications ==== ==== Publications ====

Rechte Seite

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More