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Shaobo Fang's Homepage

Shaobo Fang (方少博)
Ph.D. Candidate, Graduate Research Assistant

Advisor: Prof. Edward J. Delp, Prof. Fengqing Zhu

Video and Image Processing Laboratory (VIPER)
School of Electrical and Computer Engineering
Purdue University
465 Northwestern Avenue
West Lafayette, IN 47907, USA

Email: s-fang(AT)purdue(DOT)edu

Research Interest

My field of interest is Image Processing, Machine Learning, Computer Vision and Deep Learning.

Education

Purdue University, West Lafayette, IN, USA (08/2010 - 12/2012)

Purdue University, West Lafayette, IN, USA (08/2013 - 05/2016)

Purdue University, West Lafayette, IN, USA (08/2013 - 08/2018)

Publications and Presentations

S. Fang, C. Liu, F. Zhu, C. Boushey and E. Delp. "A Printer Indexing System for Color Calibration with Applications in Dietary Assessment," New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops, Lecture Notes in Computer Science, Vol. 9281, Springer International, pp. 358-365, 2015.

S. Fang, C. Liu, F. Zhu, C. Boushey and E. Delp. "Single-View Food Portion Estimation Based on Geometric Models," (Oral Presentation) IEEE International Symposium on Multimedia, December 2015, Miami, FL.

S. Fang, F. Zhu, C. Jiang, S. Zhang, C. Boushey and E. Delp. "A Comparison of Food Portion Estimation Using Geometric Models and Depth Images," (Oral Presentation) IEEE International Conference on Image Processing, September 2016, Phoenix, AZ.

Y. Wang, S. Fang, C. Liu, F. Zhu, D. Kerr, C. Boushey and E. Delp. "Food Image Analysis: The Big Data Problem You Can Eat!," Asilomar Conference on Signals, Systems and Computers, November 2016, Pacific Grove, CA.

S. Fang, F. Zhu, C. Boushey and E. Delp. "The Use of Co-occurrence Patterns in Single Image Based Food Portion Estimation," (Oral Presentation) IEEE Global Conference on Signal and Information Processing, November 2017, Montreal, Canada.

S. Fang, C. Liu, K. Tahboub, F. Zhu, C. Boushey and E. Delp. "cTADA: The Design of a Crowdsourcing Tool for Online Food Image Identification and Segmentation," (Oral Presentation) IEEE Southwest Symposium on Image Analysis and Interpretation, April 2018, Las Vegas, NV.

R. Mao, S. Fang, S. Yarlagadda and F. Zhu, "Automated Noisy Image Removal For Online Food Image Collection,", Midwest Machine Learning Symposium, June 2018, Chicago, IL.

S. Fang, S. Yarlagadda, Y. Wang, F. Zhu, C. Boushey, D. Kerr and E. Delp. "Image Based Dietary Behavior and Analysis Using Deep Learning," (Oral Presentation) Minisymposium at International Conference of the IEEE Engineering in Medicine and Biology Society, July 2018, Honolulu, HI.

R. Mao, S. Fang, S. Yarlagadda, Z. Shao, D. Kerr, C. Boushey, E. Delp and F. Zhu. "Image Based Dietary Assessment Using Deep Learning," (Oral Presentation) Workshop on Innovative Technologies for Dietary Intakes Measurements, September 2018, London, England.

S. Fang, Z. Shao, J. Wright, D. Kerr, C. Boushey, E. Delp and F. Zhu. "Automatic Food Energy Estimation Based on Learned Energy Distribution Image," (Oral Presentation) Workshop on Innovative Technologies for Dietary Intakes Measurements, September 2018, London, England.

S. Fang, Z. Shao, R. Mao, C. Fu, D. Kerr, C. Boushey, E. Delp and F. Zhu. "Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks," (Oral Presentation) IEEE International Conference on Image Processing, October 2018, Athens, Greece, to appear.

Graduate Courses

CS 573:   Data Mining   (Prof. Bruno Ribeiro)
ECE 538:   Digital Signal Processing I   (Prof. Michael D. Zoltowski)
ECE 580:   Optimization Method for System and Control   (Prof. Stanisław H. Żak)
ECE 600:   Random Variables   (Prof. Mary Comer)
ECE 608:   Computational Models and Methods   (Prof. Irith Pomeranz)
ECE 634:   Digital Video Systems   (Prof. Amy R. Reibman)
ECE 637:   Digital Image Processing I   (Prof. Charles A. Bouman)
ECE 638:   Principles of Digital Color Imaging Systems   (Prof. Jan P. Allebach)
ECE 641:   Model-Based Image Processing   (Prof. Charles A. Bouman)
ECE 645:   Estimation Theory   (Prof. Stanly H. Chan) Notes Contributed: Maximum Likelihood Estimation, Expectation-Maximization(EM) Algorithm
ECE 661:   Computer Vision (Prof. Avinash C. Kak) Best Solution for Image Matching Assignment (Fall'14) See Here
ECE 662:   Pattern Recognition and Decision Making Processes (Prof. Mireille "Mimi" Boutin)
MA 511:     Linear Algebra with Applications   (Prof. Jaroslaw Wlodarczyk )
STAT 528:   Introduction to Mathematical Statistics  (Prof. Jayanta K. Ghosh)
STAT 529:   Applied Bayesian Decision Theory  (Prof. John Deely)
STAT/MA 532:     Elements Of Stochastic Processes   (Prof. Burgess Davis )

Teaching Experience

College of Engineering Magoon Excellence in Teaching Award, 2016
ECE 208: Electronic Devices and Design Laboratory, Spring 2014
ECE 208: Electronic Devices and Design Laboratory, Fall 2014
ECE 208: Electronic Devices and Design Laboratory, Spring 2015
ECE 207: Electronic Measurement Techniques, Summer 2015
ECE 207: (Head TA) Electronic Measurement Techniques, Fall 2015
ECE 207: (Head TA) Electronic Measurement Techniques, Spring 2016
ECE 207: (Head TA) Electronic Measurement Techniques, Fall 2016
ECE 207: Electronic Measurement Techniques, Spring 2017


For further information, please contact Shaobo Fang.

Last Updated: 10/10/2017