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, 1185 Perry Street, Blacksburg VA 24061, USA





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. During my master course, I closely collaborated with Professor Chang-Su Kim.


Research Interests

Computer Vision and Machine Learning 
especially, human activity understanding, domain adaptation, and video representation learning.


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


May. 2019    Submitted one paper to NeurIPS2019. 
Apr. 2019    
I'll return to NEC Labs Amercia, as a research intern during Summer 2019.
Mar. 2019    Submitted one paper to ICCV2019, in collaboration with 
NEC Labs Amercia.
Aug. 2018    Successfully finished my internship
 at NEC Labs Amercia.
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 Amercia, as a research intern during Summer 2018.
Sep. 2016    Created Awesome Action Recognition GitHub page.


Publications

   <Journals>

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

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


   <Peer Reviewed Conferences>

         Anonymous TItle      

           Jinwoo Choi, Chen Gao, Joseph Messou, and Jia-Bin Huang, submitted to Conference on Neural Information Processing Systems (NeurIPS), 2019.

      

         Anonymous TItle

         Jinwoo Choi, Gaurav Sharma, Manmohan Chandraker, and Jia-Bin Huang, submitted to IEEE International Conference on Computer Vision (ICCV), 2019.


 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]


- 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]


- 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: May. 23, 2019