Andrew An Bian Blog neocortex.ch
Andrew An Bian's Photo

About

I am a PhD student in the Institute for Machine Learning at ETH Zürich. I work with Prof. Joachim M. Buhmann and Prof. Andreas Krause. I am interested in topics including machine learning, continuous & combinatorial optimization and computer vision. I like various sports, e.g., swimming, running, hiking & skiing.

My blogs:    blog.neocortex.ch       anbian.org
Contact:      Andrew An Bian's email




News

Teaching

Courses@ETH Zürich

  • TA to Prof. Thomas Hofmann
    "Computational intelligence lab" (Spring 2017) [website]
  • TA to Prof. Joachim M. Buhmann
    "Machine Learning" (Fall 2016) [website]
  • TA to Prof. Thomas Hofmann
    "Computational intelligence lab" (Spring 2016) [website]
  • TA to Prof. Joachim M. Buhmann
    "Machine Learning" (Fall 2015)
  • TA to Prof. Joachim M. Buhmann
    "Introduction to Machine Learning" (Fall 2014)

Paper & Code

Copyright warning: The copyright of each published paper belongs to the respective publisher.
The local copy is only for non-commercial, personal use.

Research Projects

Fast Human Motion Tracking (National Champion in China Accelerated Computing Contest, 2011)
In charge of PAPF design, GPU implementation and optimization.
Proposed Parallelized Annealed Particle Filter (PAPF) algorithm via heterogeneous computing and built a real-time marker-less motion tracking system. Achieved 399 times speedup.


3D Monocular Human Upper Body Pose Estimation (Samsung Corp. Cooperate)
Team leader. Algorithm design, implementation and optimization.
Conducted human upper body pose estimation via generative algorithms . Incorporating generative models and discriminative algorithms to pursue better performance.


Metal Parts Detection and Rustiness Estimation Under Complex Background (NTT Corp. Cooperate)
Team leader. Algorithm design, implementation and optimization.
Solved the problem of multi-view metal parts detection by training multiple templates. Used a novel template representation based on locally dominant gradient orientations.

Links

(Non-)Convex Optimization

Machine Learning

MISC


Feel free to download the source code of this website if you like :-)