Sung Ju Hwang




I am an assistant professor in the School of Electric and Computer Engineering, at Ulsan National Institute of Science and Technology (UNIST). Prior to working at UNIST, I was a postdoctoral research associate at Disney Research, working under the supervision of Dr. Leonid Sigal. I received my Ph.D. in computer science at University of Texas at Austin, under Professor Kristen Grauman. During my Ph.D. I also closely collaborated with Prof. Fei Sha at University of Southern California.

Research Interests


Computer Vision, Machine Learning, Information Retrieval [cv]

Education


The University of Texas at Austin, TX, USA
Ph.D., Computer Science (Aug 2013)
Thesis: 'Discriminative Object Categorization with External Semantic Knowledge'

The University of Texas at Austin, TX, USA
M.A., Computer Science (May 2010)
Thesis: 'Reading Between The Lines: Object Localization Using Implicit Cues from Image Tags.'

Seoul National University, Seoul, Korea
B.S., Computer Science and Engineering (Feb 2008)

Work


Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea
Assistant Professor, School of Electric and Computer Engineering (Aug 2014 ~ )

Disney Research, Pittsburgh, PA, USA
Postdoctoral Research Associate, Computer Vision Group (Sep 2013 ~ Aug 2014)

Microsoft Research, Redmond, WA, USA
Research Intern, Interactive Media Group (June 2011 ~ Sep 2011)
Mentors: Sing Bing Kang, Ashish Kapoor

SK Communications (Formerly EMPAS), Seoul, Korea
Lead Staff, Search Department (May 2005 ~ Jan 2007)

Publications


Journal Publications


Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search. [link]
Sung Ju Hwang and Kristen Grauman, International Journal of Computer Vision (IJCV), November 2012

Reading Between the Lines: Object Localization Using Implicit Cues from Image Tags. [link]
Sung Ju Hwang and Kristen Grauman, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), June 2012

Conference Publications


A Unified Semantic Embedding: Relating Taxonomies with Attributes
Sung Ju Hwang and Leonid Sigal, NIPS 2014
[poster] [project page]

Analogy-preserving Semantic Embedding for Visual Object Categorization
Sung Ju Hwang, Kristen Grauman and Fei Sha, ICML 2013
[poster] [project page]

Semantic Kernel Forests from Multiple Taxonomies
Sung Ju Hwang, Kristen Grauman and Fei Sha, NIPS 2012
[poster] [project page]

Context-Based Automatic Local Image Enhancement
Sung Ju Hwang, Ashish Kapoor, and Sing Bing Kang, ECCV 2012
[poster] [project page]

Learning a Tree of Metrics with Disjoint Visual Features
Sung Ju Hwang, Kristen Grauman, and Fei Sha, NIPS 2011
[poster] [project page]

Sharing Features Between Objects and Their Attributes
Sung Ju Hwang, Fei Sha and Kristen Grauman, CVPR 2011
[poster] [project page]

Accounting for the Relative Importance of Objects in Image Retrieval
Sung Ju Hwang and Kristen Grauman, BMVC 2010 (oral presentation)
[project page] [slides(pptx)]

Reading Between The Lines: Object Localization Using Implicit Cues from Image Tags
Sung Ju Hwang and Kristen Grauman, CVPR 2010 (oral presentation)
[project page] [video]

Workshop Abstracts/Posters


A Unified Semantic Embedding: Relating Taxonomies and Attributes
Sung Ju Hwang and Leonid Sigal,
TO APPEAR, AAAI Spring Symposium on Knowledge Representation and Reasoning (KRR), KRR 2015

A Unified Semantic Embedding: Relating Taxonomies and Attributes
Sung Ju Hwang and Leonid Sigal,
NIPS Workshop on Learning Semantics, NIPS 2014

Semantic Kernel Forests from Multiple Taxonomies
Sung Ju Hwang, Fei Sha and Kristen Grauman,
Big Data Meets Computer Vision: International Workshop on Large Scale Visual Recognition and Retrieval (BigVision), NIPS 2012 (oral presentation) [slides]

Sharing Features Between Visual Tasks at Different Levels of Granularity
Sung Ju Hwang, Fei Sha and Kristen Grauman, Fine-Grained Visual Categorization Workshop (FGVC), CVPR 2011
[poster]

Professional Service


Reviewer & Program Committee: IEEE Transaction on Multimedia, IEEE Transaction on Pattern Analysis and Machine Intelligence, ECCV (2012,2014), NIPS (2012,2013,2014), ICML (2015), ACCV (2012,2014), CVPR (2013,2014,2015), ICCV 2013, SIGGRAPH (2014), SIGGRAPH ASIA (2014)

Contact


Office: GDC 4.728I
The University of Texas at Austin
1 University Station C0803
Austin, TX 78712
Email: sjhwang at cs.utexas.edu

Upcoming Conferences


Conference Paper Deadline Conference Dates Location
ICML 2014 October 4th, 2013 06/21 ~ 06/26 Beijing, China
CVPR 2014 November 1st, 2013 06/25 ~ 06/27 Columbus, OH, USA

Links


Useful Links

Roger's Online Equation Editor
Condor Node Status

UT Vision Group

Kristen Grauman
Yong Jae Lee
Sudheendra Vijayanarasimhan
Jaechul Kim
Adriana Kovashka
Chao-Yeh Chen
Sunil Bandla

USC Machine Learning Group

Fei Sha
Boqing Gong

Friends

Eunho Yang
Joyce Jiyoung Whang
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