ContactYida WangEmail: yida.wang|[at]|tum.de Address:
Chair for Computer Aided Medical Procedures & Augmented Reality Phone: +49 89 289 17077 |
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
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) |
UsersForm | |
---|---|
Title: | Master |
Circumference of your head (in cm): | |
Firstname: | Yida |
Middlename: | |
Lastname: | Wang |
Picture: | |
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: | |
Personalvideo02: | |
Personalvideotext02: | |
Personalvideopreview02: |