SouYoung Jin

 

 

 

 

Ph.D. Student,

Computer Science,

University of Massachusetts, Amherst

 

Office:
Computer Science Building, Rm 256, 140 Governors Drive, Amherst, MA 01003

Email:
souyoungjin [at] cs.umass.edu

 

 

 

Hi, I am a second year Ph.D. student at School of Computer Science, University of Massachusetts, Amherst, working with Prof. Erik Learned-Miller at Computer Vision Lab. My research interests are in Computer Vision and Machine Learning. Here is my CV.  

 

 

Publication

2014

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Sou-Young Jin, Ho-Jin Choi, Yu-Wing Tai: A Randomized Algorithm for Natural Object Colorization. Computer Graphics Forum (Special Issue on Eurographics), vol. 33, no. 2, 2014.  

[pdf] [supplemental material] [project page] [bibtxt]

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Sou-Young Jin, Suwon Lee, Nur Aziza Azis, Ho-Jin Choi: Jigsaw Puzzle Image Retrieval via Pairwise Compatibility Measurement, International Conference on Big Data and Smart Computing (BigComp), pages 123 – 127, Bangkok, Thailand, Jan. 15-17, 2014.[pdf] [bibtxt]

 

2013

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Sou-Young Jin, Ho-Jin Choi: Essential Body-Joint and Atomic Action Detection for Human Activity Recognition Using Longest Common Subsequence Algorithm. Lecture Notes in Computer Science, vol. 7729, pages 148-159, 2013. [pdf] [bibtxt]

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Sou-Young Jin, Ho-Jin Choi, Youssef Iraqi: Depth Consistency Evaluation for Error-Pose Detection, International Conference on Machine Vision (ICMV), London, United Kingdom, 15-16 November 2013.  [pdf] [bibtxt]

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Sou-Young Jin, Ho-Jin Choi: Clustering Space-Time Interest Points for Action Representation, International Conference on Machine Vision (ICMV), London, United Kingdom, 15-16 November 2013. [pdf] [bibtxt]

 

2012

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Sou-Young Jin, Young-Seob Jong, Chankyu Park, Kyo-Joong Oh, Ho-Jin Choi: An Intelligent Multi-Sensor Surveillance System for Elderly Care, Smart Computing Review, vol. 2, no. 4, August 2012. [pdf] [bibtxt]

 

Sou-Young Jin, Jae-Kyung Won, Hojin Lee, Ho-Jin Choi: Construction of Automated Screening System to Predict Breast Cancer Diagnosis and Prognosis, Basic and Applied Pathology, vol. 5, issue 1, pages 15-18, 16 Mar. 2012. [pdf] [bibtxt]

 

 

Last modified 9/21/2015