Jinwoo Choi's Academic Website



Jinwoo Choi (최진우)

 Ph.D. Candidate



 Contact
 E-mail: jinchoi [at] vt [dot] edu (official) 
 Tel: +1-540-998-1587
 Lab: 415 Whittemore, VirginiaTech





About Me

I am a Ph.D. student in the Virginia Tech Vision and Learning Lab and my advisor is Professor Jia-Bin Huang. From March 2010 to July 2015, I completed my military duty at the Electronics and Telecommunications Research Institute (ETRI), Republic of Korea as a computer vision researcher. Prior to that, I completed my master degree at Seoul National University (SNU) under supervision of Professor Sang-Uk Lee.


Research Interests

Computer Vision and Machine Learning 
especially, human activity understanding and video related problems


Education

2015.8 ~            : Ph.D. student in Bradley Department of Electrical and Computer Engineering, Virginia Tech.
2008.3 ~ 2010.2 : M.S. in School of Electrical Engineering and Computer Science, Seoul National University (SNU), Seoul, Korea.
2003.3 ~ 2008.2 : B.S. in School of Electrical Engineering, Seoul National University (SNU), Seoul, Korea. 



News

Jun. 2018    I started my internship at NEC Labs Amercia, Media Analytics Department, located in Cuptertino, CA,
                    as a reserch intern. Gaurav Sharma is my mentor here. 
Feb. 2018    I'll work at NEC Labs America, Media Analytics Department as a research intern during Summer 2018.
Nov. 2017    Submitted one paper to CVPR2018.


Publications

   <Journal>

Robust Multi-Person Tracking for Real-Time Intelligent Video Surveillance

Jinwoo Choi, Daesung Moon, and Jang-Hee Yoo, ETRI Journal (SCI), 2015. [pdf


   <Conference>

 Semi-Automated Home-based Therapy for the Upper Extremity of Stoke Survivors 

Thanassis Rikakis, Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Kris Kitani, Steve Wolf, and Setor ZilevuPervasive Technologies Related to Assistive Environments (PETRA) 2018.


HOMER: an interactive system for home based stroke rehabilitation 

Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Kris Kitani, and Thanassis Rikakis, International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2017 


Obscene Video Detection Using Multiple-Classifier Fusion

Jinwoo Choi and Seungwan Han, Japan-Korea Joint Workshop on Frontiers of Computer Vision (FCV), 2015. (Oral presentation)


- The Visual Object Tracking VOT2014 Challenge Results

Matej Kristan et al. (including Jinwoo Choi), The 13th European Conference on Computer Vision (ECCV) Workshop, 2014. [pdf, slide]


Face Detection and Tracking Based People Counting System

Jinwoo Choi, So-Hee Park, and Jang-Hee Yoo, International Conference on Convergentce Content, 2014. [pdf]


- Real-Time Multi-Person Tracking in Fixed Surveillance Camera Environment

Jinwoo Choi and Jang-Hee Yoo, IEEE International Conference on Consumer Electronics (ICCE), 2013. [pdf]


Human Detection Method Combining HOG and Cumulative Sum Based Binary Pattern

Jong-Gook Ko, Jinwoo Choi, So-Hee Park, and Jang-Hee Yoo, International Conference on Computers, Networks, Systems, and Industrial Engineering, 2012. [pdf]


- Multiple Channel Division for Efficient Distributed Video Coding

Sang-Uk Park, Young-Yoon Lee, Jinwoo Choi, Chang-Su Kim, and Sang-Uk Lee, IEEE International Conference on Image Processing (ICIP), 2009. [pdf]


Flexible Complexity Control between Encoder and Decoder for Video Coding

 Jinwoo Choi, Sang-Uk Park, Chang-Su Kim, and Sang-Uk Lee, IEEE International Workshop on Multimedia Signal Processing (MMSP), 2009. [pdf]


Efficient Distributed Video Coding Using Symmetric Motion Estimation and Channel Division

 Sang-Uk Park, Jinwoo Choi, Chang-Su Kim, Sang-Uk Lee, Jung Won Kang, and Kyung Jun Lee, IEEE Pacific Rim Conference on Communications, Computers and  Signal Processing, 2009. [pdf



Projects

- On Helping Stroke Rehabilitation with Computer Vision (Spring 2016) 

     • Class Project of ECE6554 Advanced Computer Vision and CS6424 Probabilistic Graphical Models and Structured Prediction, Virginia Tech  

      Final Report


- Visual Question Answering with Various Feature Combinations: Extensions of Visual Question Answering (Fall 2015) 

     • Class Project of ECE5554 Computer Vision and CS5824 Machine Learning, Virginia Tech

      Webpage / Final Report


- Development of the Filtering Technology for Objectionable Streaming Contents on Smart Experience Platform (Apr 2014 ~ Jul 2015)

     • Funded by Ministry of Science, ICT and Future Planning, Korea

      Aimed at detecting and blocking of obscene video streams using computer vision and machine learning techniques on the mobile platform


- Development of Basic Technology of Human Identification and Retrieval at a Distance for Active Video Surveillance Service with Real-time Awareness of Safety Threats (Jun 2011 ~ Feb 2014)

     • Funded by Ministry of Knowledge Economy, Korea 

     • Aimed at real-time detecting and tracking of pedestrian using fixed and pan-tilt-zoom cameras


- Research and Development of Open-IPTV Technologies for Wired and Wireless Networks (Mar 2010 ~ Feb 2011)

      Funded by Ministry of Knowledge Economy, Korea

      Aimed at real-time encoding and decoding of multiple-resolution videos simultaneously using H.264/AVC scalable extension


- Research and Development of Technologies for Next Generation IPTV Video Encoder (Jun 2010 ~ May 2011)

      Funded by SK Telecom, Korea

      Aimed at real-time encoding of multiple-resolution videos using H.264/AVC scalable extension


- Research and Development of Technologies for Improving the Quality of the Side Information in the Distributed Video Coding (Aug 2009 ~ Jan 2010)

      Funded by ETRI, Korea

      Aimed at improving the quality of the motion compensated temporal interpolation of inter frames on the distributed video coding


- Research and Development of Technologies for Improving the Quality of the Side Information in the Distributed Video Coding (Aug 2008 ~ Jan 2009)
  • Funded by ETRI, Korea

  • Aimed at improving the quality of the motion compensated temporal interpolation of inter frames on the distributed video coding 



Relevant Courses Taken


@ Virginia Tech
- Computer Vision
- Machine Learning
- Advanced Computer Vision
- Probabilistic Graphical Models and Structured Prediction
- Introduction to Artificial Intelligence
- Bayesian Statistics
- Convex Optimization

@ SNU
- Stochastic Signals and Random Processes
- Adaptive Signal Processing
- Multirate Signal Processing
- Image Signal Processing


 
Last update: Jun. 6, 2018