Jinwoo Choi (최진우)
Ph.D. Candidate
Contact
E-mail: jinchoi [at] vt [dot] edu (official)
Tel: +1-540-998-1587
Lab: 415 Whittemore, VirginiaTech
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.
Computer Vision and Machine Learning
especially, human activity understanding and video related problems
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.
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
- Robust Multi-Person Tracking for Real-Time Intelligent Video Surveillance
Jinwoo Choi, Daesung Moon, and Jang-Hee Yoo, ETRI Journal (SCI), 2015. [pdf]
- 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 Zilevu, Pervasive 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]
- 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)
@ 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
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