Ph.D. Candidate,

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 Ph.D. Candidate at College of Information and Computer Sciences, 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.

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2019

posted Apr 18, 2019, 8:36 AM by SouYoung Jin [ updated May 29, 2019, 4:27 PM ]

Ashish Singh*, Hang Su*, SouYoung Jin, Huaizu Jiang, Chetan Manjesh, Geng Luo, Ziwei He, Li Hong, Erik G. Learned-Miller, and Rosemary Cowell. Half&Half: New Tasks and Benchmarks for Studying Visual Common Sense, CVPR 2019 Workshop on Vision Meets Cognition (to appear).

Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao and Erik Learned-Miller. Automatic adaptation of object detectors to new domains using self-training. Computer Vision and Pattern Recognition (CVPR), 2019 .

[pdf] [project page]

2018

posted Sep 18, 2018, 1:22 PM by SouYoung Jin [ updated Sep 18, 2018, 1:27 PM ]

SouYoung Jin*, Aruni RoyChowdhury*, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, and Erik Learned-Miller. Unsupervised hard example mining from videos for improved object detection. European Conference on Computer Vision (ECCV), 18 pages, 2018.

* = Equal Contribution

[pdf] [project page]

2017

posted Jul 16, 2017, 8:40 PM by SouYoung Jin [ updated Oct 26, 2017, 5:38 AM ]

SouYoung Jin, Hang Su, Chris Stauffer, and Erik Learned-Miller. End-to-end face detection and cast grouping in movies using Erdos-Renyi clustering. International Conference on Computer Vision (ICCV), 10 pages, 2017. spotlight

[pdf] [supp] [project page] [code]

2014

posted Jul 16, 2017, 8:40 PM by SouYoung Jin

Sou-Young Jin, Ho-Jin Choi, and 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]

Sou-Young Jin, Suwon Lee, Nur Aziza Azis, and 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

posted Jul 16, 2017, 8:39 PM by SouYoung Jin


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

posted Jul 16, 2017, 8:37 PM by SouYoung Jin [ updated Jul 16, 2017, 8:38 PM ]


	Sou-Young Jin, Young-Seob Jong, Chankyu Park, Kyo-Joong Oh, and 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, and 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]

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