HaowenDeng

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

Haowen Deng (邓皓文)

M.Sc. Haowen Deng
Technische Universität München
Siemens AG
Email: haowen.deng@tum.de
Adress: Technische Universität München
Fakultät für Informatik
Boltzmannstr. 3
85748, Garching b. München
Deutschland
Siemens AG
Research & Technology Center
Otto-Hahn-Ring 6
81739, München
Deutschland

Brief Resume

I am currently a Ph.D candidate at Chair for Computer Aided Medical Procedures & Augmented Reality (CAMP), Fakultät für Informatik in Technische Universität München and Siemens AG. My supervisor is Slobodan Ilic. My Phd topic is related with Computer Vision and Machine Learning. I am interested in using Machine Learning methods, especially Deep Learning, to affiliate better understanding of 3D Geometries and to solve related vision tasks.

Research Interests

  • Machine Learning
  • Computer Vision
  • Deep Learning
  • 3D Geometry Understanding
  • Feature Learning
  • Matching & Registration
  • Simultaneous Localization and Mapping (SLAM)
  • Semantic Segmentation
  • Object Detection & Tracking

Education

  • 2017 - now, Computer Science, Technical University of Munich, Germany, Phd Candidate
  • 2014 - 2016, Computer Science and Technology, National University of Defense Technology, China, Master
  • 2010 - 2014, Network Engineering, National University of Defense Technology, China, Bachelor

Teaching Assistance

Publications

2019
Y. Zhao, T. Birdal, H. Deng, F. Tombari
3D Point-Capsule Networks
IEEE Computer Vision and Pattern Recognition (CVPR), Long Beach, United States, June 2019 (bib)
H. Deng, T. Birdal, S. Ilic
3D Local Features for Direct Pairwise Registration
IEEE Computer Vision and Pattern Recognition (CVPR), Long Beach, United States, June 2019 (bib)
2018
H. Deng, T. Birdal, S. Ilic
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors
European Conference On Computer Vision (ECCV), Munich, Germany, September 2018 (bib)
H. Deng, T. Birdal, S. Ilic
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
IEEE Computer Vision and Pattern Recognition (CVPR), Salt Lake City, United States, June 2018 [spotlight] (bib)

UsersForm
Title: Master
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Firstname: Haowen
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Lastname: Deng
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Birthday: 08.09.1991
Nationality: China
Languages: English, Chinese
Groups: Computer Vision
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Position: External Phd
Status: Inactive
Emailbefore: denghaowen10
Emailafter: gmail.com
Room: 03.13.036
Telephone: +49 015256900307
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Edit | Attach | Refresh | Diffs | More | Revision r1.20 - 24 Sep 2018 - 14:35 - HaowenDeng

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