Feng Yang

Postdoctoral Researcher

Illumination and Imaging Lab

The Robotics Institute

School of Computer Science

Carnegie Mellon University

Office:

Smith Hall 117

Phone:

+1 412 268 6240

Email:

fengy [at] cs [dot] cmu [dot] edu

Research Interests

Education

2007.9~2012.3 Ecole Polytechnique Fdrale de Lausanne,

Ph.D., School of Computer and Communication Sciences,

2004.9~2007.7 Tsinghua University,

M.S., Department of Automation,

2000.9~2004.7 Tsinghua University,

B.S., Department of Automation, (Ranked 6th in Shaanxi province in the national college entrance exam)

Professional experience

Visiting Scholar, Rambus Labs, Rambus Inc., Sunnyvale, August 2012 to September 2012.

Research Intern, Visual Computing and Ubiquitous Imaging Team, Nokia Research Center, Palo Alto, August 2010 to February 2011.

Research Intern, Corporate Technology Group, Intel China Research Center, Beijing, December 2006 to June 2007.

Teaching assistant

Project supervisor

Master thesis project

[1] Junjun Zhang, Multi-frame imaging system, fall~2012

Master semester project

[7] Cline Heldner, See through scattering, spring~2013

[6] Frjaville Camille Chlo Emmeline, Visual tour: scene summarization for a city, fall~2012

[5] Sergiu Gaman, Video stabilization using Kinect camera, spring~2012

[4] Uday Takyar, Mobile phone as an image scanner, fall~2011

[3] Ljupce Nikolov, Video stabilization, co-advised with Yigang Peng from Tsinghua University, fall~2011

[2] Alexandre Chappuis, Tag your memory with colors: Semi-automatic recoloring on interested objects via hypergraph learning, co-advised with Li Pu from EPFL, fall~2011

[1] Jonathan Pittet, Mobile phone as an image scanner, co-advised with Kari Pulli from Nokia, spring~2011

PhD thesis

F. Yang, M. Vetterli and L. Sbaiz (Dirs.). Bits from Photons: Oversampled Binary Image Acquisition, EPFL, Lausanne, 2012. (Slides for PhD defense)

Publications

Journal Article

[3] F. Yang and J. Suo, Light field: theory, acquisition and applications.  Communications of China Computer Federation, vol. 8, no. 8, pp. 13-19, 2012 (In Chinese).

[2] F. Yang, Y.M. Lu, L. Sbaiz and M. Vetterli, Bits from Photons: Oversampled Image Acquisition Using Binary Poisson StatisticsIEEE   Trans. on Image Processing , vol. 21, issue 4, pp. 1421-1436, 2012.

[1] G. Ding, F. Yang, Q. Dai, and W. Xu. A distributed source coding theorem based region of interest image compression method.  IEE Electronics Letters, vol. 41, no. 22, pp. 1215-1217, Oct. 2005.

Report

[1] F. Yang, Y.M. Lu, L. Sbaiz and M. Vetterli, Bits from Photons: Oversampled Image Acquisition Using Binary Poisson StatisticsEcole Polytechnique Fdrale de Lausanne, Tech. Rep. 166345, Jun. 2011.

Conference paper

[18] J. Zhang, F. Yang, T. Vogelsang, D. Stork and M. Vetterli. Multichannel sampling of low light scenes with unknown shifts , In Proc. of IEEE International Conference on Image Processing , Melbourne, Australia, Sep. 15-18, 2013.

[17] F. Yang, and M. Vetterli. Oversampled noisy binary image sensor. In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, May 26-31, 2013. 

[16] Y. Wen, Z. Liu, W. Shi, Y. Jiang, A. Cheng, F. Yang and A. Kohar. Support for power efficient mobile video playback on simultaneous hybrid display. In Proc.  of the 10th IEEE Symposium on Embedded Systems for Real-time Multimedia, Tampere, Oct. 2012.

[15] Z. Chen, F. Yang, A. Lindner, G. Barrenetxea and M. Vetterli. How is the Weather: Automatic Inference from Images, In Proc. of IEEE International Conference on Image Processing, Orlando, USA, Sept. 30-Oct. 3, 2012.

[14] Y. Peng, F. Yang, Q. Dai, W. Xu and M. Vetterli. Super-resolution from unregistered aliased images with unknown scalings and shifts, In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, Japan, May 25-30, 2012.

[13] W. Shi, J. Yang, Y. Jiang, F. Yang and Y. XiongSenGuard: Passive User Identification on Smartphones Using Multiple Sensors, In Proc. of the 7th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Shanghai, China, 2011.

[12] F. Yang, L. Sbaiz, E. Charbon, Y. Lu, S. Ssstrunk and M. Vetterli, The Gigavision CameraPresented at: IEEE International Conference on Computational Photography, MIT, Boston, Massachusetts, USA, March 28-30, 2010. 

[11] F. Yang, Y.M. Lu, L. Sbaiz and M. Vetterli, An Optimal Algorithm for Reconstructing Images from Binary Measurements, In Proc. of IS&T/SPIE Electronic Imaging, Computational Imaging VIII, 2010. 

[10] F. Yang, L. Sbaiz, E. Charbon, S. Ssstrunk and M. Vetterli, On Pixel Detection Threshold in the Gigavision Camera, In Proc. of IS&T/SPIE Electronic Imaging, Digital Photography VI, Vol. 7537, 2010. 

[9] F. Yang, L. Sbaiz, E. Charbon, S. Ssstrunk and M. Vetterli, Image Reconstruction in the Gigavision Camera, IEEE 12th International Conference on Computer Vision, Ninth Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras, pp. 2212-2219, 2009. 

[8] L. Sbaiz, F. Yang, E. Charbon, S. Ssstrunk and M. Vetterli, The Gigavision Camera, In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1093-1096, 2009. 

[7] G. Ding and F. Yang. A distributed video coding scheme based on denoising techniques. In Proc. of 13th Int. Multimedia Modeling Conference, LNCS 4351, pp.237-246, Singapore, Jan. 2007.

[6] C. Xue, L. Li, F. Yang, P. P. Wang, T. Wang, Y. Zhang, and Y. Sun. Automated home video editing: A multi-core solution. In Proc. of ACM 15th Int. Conference on Multimedia, pp.453-454, Augsburg, Sep. 2007.

[5] F. Yang, Q. Dai, and G. Ding. Multi-view images coding based on multiterminal source coding. In Proc. of IEEE Int. Conference on Acoustics, Speech and Signal Processing, pp.1037-1040, Honolulu, Apr. 2007.

[4] F. Yang, G. Ding, Q. Dai, and Y. Yin, Wavelet based scalable Wyner-Ziv video coding, In Proc. of Int. Picture Coding Symposium, Beijing, Apr. 2006.

[3] G. Ding, Q. Dai, Y. Yin, and F. Yang, Scalable video coding based on Wyner-Ziv framework, In Proc. of IEEE Visual Communications and Image Processing, Beijing, Jul. 2005.

[2] G. Ding, Q. Dai, F. Yang, and Y. Yin, A new region-of-interest image compression method based on Wyner-Ziv coding, In Proc. of IEEE Visual Communications and Image Processing, Beijing, Jul. 2005.

[1] F. Yang, G. Ding, Q. Dai and Y. Yin, Adaptive key frame selection Wyner-Ziv video coding, In Proc. of IEEE 7th Workshop on Multimedia Signal Processing, Shanghai, Oct. 2005.

Patent

[3] Q. Dai, F. Yang, and G. Ding, A method for video compression supporting random access video playback (Patent number: CN101005622).

[2] Q. Dai, F. Yang, and G. Ding, A method for robust image compression based on distributed source coding (Patent number: CN1988670).

[1] G. Ding, Q. Dai, Z. Yu, and F. Yang, A method for robust video coding without prediction circle. (Patent number: CN1889687).