Chen Fang
Department of Computer Science Phone: 603-***-****
Dartmouth College Office: 004 Sudikoff LabEmail: ********@**.*********.***********: http:
Hanover NH, 03755 //www.cs.dartmouth.edu/ chenfang/
Research Interest
Field: Computer Vision, Machine Learning
My research interest is designing scalable machine learning algorithms for tasks like
image retrieval and object
recognition.
I am looking for aninternship position in a high quality research team for summer 2012.
Education
Ph.D. Computer Science, Dartmouth College Sept. 2010 - Present
Advisor: Prof. Lorenzo Torresani
B.E. Software Engineering, Hunan University Sept. 2006 - Jun. 2010
Ranking: Top 2%; Major GPA: 3.7/4
Professional Experience
ResearchAssistant Sept. 2010 - Present
Visual and Learning Group, Computer Science Department
Dartmouth College, Hanover, NH
My research mainly focuses
onsolvinglargescaleimageretrievalandobjectrecognitionproblemsus-
ingComputerVisionandmachinelearningknowledge, andprototypinganddevelopingcorresponding
software. I am fluent with C/C++ and OpenCV. In my last project, I and co-authors
designed a fast and
accurate retrieval and ranking method, which ranks images in a database of 10 million
picutres. I also devel-
oped softwares of image descriptor extraction, which efficiently extracts features of
image. Currently, I am
still working on large scale image retrieval/recognition method.
TeachingAssistant Spring 2011
Department of Computer Science
Dartmouth College, Hanover, NH
Teaching assistant of Machine Learning and Statistical Data Analysis (COSC34/134)
Publications
Chen Fang*, Mohammad Rastegari*, Lorenzo Torresani. Scalable Object-Class Retrieval with
Approximate
and Top-k Ranking.IEEEInternationalConferenceonComputerVision, Barcelona, Spain,
2011.(*meansequal
contribution)
(Acceptance rate= 24%)
Chen Fang, Jin Zhang, Shangwu Zhu, Guang Li, Rulong Wang. Analysis of Texture Images
Generated by
Olfactory System Bionic Model.IEEEInternationalSymposiumonNeuralNetworks, Shanghai,
China, 2010.
Chen Fang 2
Software&Code
VLGclassemesextractor: This software is written in C and C++, using OpenCV library. Given
an image as
input, it extracts classeme descriptor, as well as low level image features, such as
GIST, Pyramid of Histograms
ofOrientedGradients,PyramidofSelf-
SimilarityandBagofwordsusingSIFT.Itisanefficientimplementation
of[Torresani et al., ECCV 2010].
Expertise
Programming Language:
Expert in C, C++ and Matlab. Fluent in JAVA. Basics of HTML, JSP and SQL.
Environment & Operating System:
Matlab, Eclipse, Visual Studio, GNU/Linux systems, Windows Systems and OpenCV.