SergeyZakharov

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

Sergey Zakharov

Sergey

Contact

  • Email: sergey.zakharov[at]tum.de
  • Address:
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

Research Interests

  • Scalable 3D Object Detection
  • Object Classification and Pose Estimation
  • Metric Learning
  • Domain Adaptation
  • Augmented Reality

Education

  • 2016: Master of Science - Biomedical Computing at Technical University Munich, Chair for Computer Aided Medical Procedures (CAMP)
    Thesis: 3D Object Instance Recognition and Pose Estimation in Cluttered Scenes Using CNNs

  • 2015: Master of Science - Computational Science and Engineering at Technical University Munich, Chair for Scientific Computing
    Thesis: Hybrid Lattice Boltzmann-Molecular Dynamics Simulations Using the Palabos and OpenLB? Frameworks

  • 2012: Bachelor of Science - Mechanical Engineering and Production Technology at Saimaa UAS and FH Schmalkalden
    Thesis: Planning, Design and Realization of a 500000V Van-de-Graaff Generator

List of Publications

2018
S. Zakharov, B. Planche, Z. Wu, A. Hutter, H. Kosch, S. Ilic
Keep it Unreal: Bridging the Realism Gap for 2.5 D Recognition with Geometry Priors Only
International Conference on 3DVision (3DV), Verona, Italy, September 2018, [Oral] The first two authors contributed equally to this work. (bib)
M. Bui, S. Zakharov, S. Albarqouni, S. Ilic, N. Navab
When Regression meets Manifold Learning for Object Recognition and Pose Estimation
Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 21-25 May, 2018, Brisbane, Australia (bib)
2017
B. Planche, Z. Wu, K. Ma, S. Sun, S. Kluckner, T. Chen, A. Hutter, S. Zakharov, H. Kosch, J. Ernst
DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition
International Conference on 3D Vision (3DV), Qingdao, China, October 2017 (bib)
S. Zakharov, W. Kehl, B. Planche, A. Hutter, S. Ilic
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin
International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, September 2017 (bib)


Teaching Assistance


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Edit | Attach | Refresh | Diffs | More | Revision r1.13 - 10 Sep 2018 - 12:51 - SergeyZakharov

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