YidaWang

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Yida Wang

Contact

Yida Wang ORCID iD icon

Email: yida.wang|[at]|tum.de

Address:

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München

Office: MI 03.13.037
Phone: +49 89 289 17077

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Ph.D candidate in computer vision team of CAMP Chair, Technische Universität München, supervised by Dr. Federico Tombari and Prof. Dr. Nassir Navab. My topic is the development of deep learning techniques for representation and processing of 3D data for complex visual tasks.

Multi-media research materials are available on personal website

Curriculum Vitae are available at English, 中文 and Deutsche

News

  • 2021 Jun: Research Intern at Facebook Reality Lab
  • 2020 Aug: MLH Fellowship
  • 2020 Oct: National Self-financed Scholarship for Oversea Ph.D. Students
  • 2020 Aug: Paper accepted as oral in ECCV 2020
  • 2020 Aug: Paper accepted in ICRA 2020
  • 2019 Aug: Paper accepted in ICCV 2019
  • 2019 Aug: Paper accepted in IROS-RAL 2019
  • 2019 Aug: Bleenco Research Fellowship
  • 2019 Apr: Mentor for Google Summer of Codes 2019
  • 2018 Aug: Paper accepted in 3DV 2018
  • 2017 Aug: NVIDIA GPU Grant
  • 2017 Mar: Excellent Graduate of Beijing City (Master)
  • 2016 Oct: National Scholarship for Graduate Students
  • 2016 Apr: 2nd prize, Microsoft Open Source Challenge
  • 2015 Apr: Selected for Google Summer of Codes 2015 and 2016
  • 2014 Jul: Excellent Graduate of Beijing City (Bachelor)
  • 2013 Dec: 1st prize, SCILAB Scientific Open Source Contest

Publications

2020
Y. Wang, D. J. Tan , N. Navab, F. Tombari
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification
European Conference on Computer Vision (ECCV) (bib)
Y. Li, N. Brasch, Y. Wang, N. Navab, F. Tombari
Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments
International Conference on Intelligent Robots and Systems (IROS), October 25-29, 2020. Las Vegas, USA.
The first two authors contributed equally.
(bib)
2019
Y. Wang, D. J. Tan , N. Navab, F. Tombari
ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image
International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019 (bib)
Y. Gao, Y. Wang, , N. Navab, F. Tombari
Variational Object-aware 3D Hand Pose from a Single RGB Image
IEEE Robotics and Automation Letters 2019 (bib)
2018
Y. Wang, D. J. Tan , N. Navab, F. Tombari
Adversarial Semantic Scene Completion from a Single Depth Image
International Conference on 3D Vision (3DV), 2018 (bib)

Active research projects


UsersForm
Title: Master
Circumference of your head (in cm):  
Firstname: Yida
Middlename:  
Lastname: Wang
Picture: YidaWang_CAMP.png
Birthday: 23.01.1991
Nationality: China
Languages: English, German, Chinese
Groups: Computer Vision
Expertise: Registration/Visualization, Segmentation, Computer Vision, 3D Information Presentation, 3D Interaction
Position: Scientific Staff
Status: Active
Emailbefore: yida.wang
Emailafter: tum.de
Room: 03.13.037
Telephone: +49 89 289 17077
Alumniactivity:  
Defensedate:  
Thesistitle: Development of deep learning techniques for representation and processing of 3D data for complex visual tasks
Alumnihomepage:  
Personalvideo01:  
Personalvideotext01:  
Personalvideopreview01:  
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