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
I am a Ph.D. candidate 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's degree at Seoul National University (SNU) under the supervision of Professor Sang-Uk Lee. During my master's course, I closely collaborated with Professor Chang-Su Kim.
Computer Vision and Machine Learning
I am especially interested in human activity understanding, video representation learning, domain adaptation and mitigating biases in visual recognition. I am also interested in object detection, segmentation, and scene understanding.
Now : Ph.D. candidate in Bradley Department of Electrical and Computer Engineering, Virginia Tech.
2010 : M.S. in Electrical Engineering and Computer Science, Seoul National University (SNU), Seoul, Korea.
2008 : B.S. in Electrical Engineering, Seoul National University (SNU), Seoul, Korea.
Aug. 2020 I will be serving as a PC (reviewer) of AAAI 2021.
Jul. 2020 I will be serving as a reviewer of ICLR 2021.
Jul. 2020 One paper is accepted to ECCV 2020. Virtually see you at ECCV this August!
Jun. 2020 Submitted one paper to NeurIPS 2020.
Jun. 2020 I will be serving as a reviewer of ICPR 2020.
Mar. 2020 I will be serving as a reviewer of NeurIPS 2020.
Mar. 2020 Submitted one paper to ECCV 2020 in collaboration with NEC Labs Amercia.
Jan. 2020 I gave an invited talk "Action Recognition with Knowledge Transfer" at Samsung Advanced Institute of Technology, Korea.
Dec. 2019 One paper is accepted to WACV 2020.
Dec. 2019 I have passed my Ph.D. preliminary exam.
Oct. 2019 I have been selected for a NeurIPS 2019 travel award.
Sep. 2019 One paper is accepted to NeurIPS 2019. See you at Vancouver, Canada this December!
Aug. 2019 Successfully finished my second internship at NEC Labs Amercia.
Aug. 2019 I am serving as a reviewer of WACV 2020.
Jul. 2019 Submitted one paper to WACV 2020 in collaboration with NEC Labs Amercia.
May. 2019 I returned to NEC Labs Amercia, Media Analytics Department, located in San Jose, CA, as a reserch intern. Gaurav Sharma, Samuel Schulter and Manmohan Chandraker are my mentors here.
May. 2019 Submitted one paper to NeurIPS 2019.
Apr. 2019 I'll return to NEC Labs Amercia, as a research intern during Summer 2019.
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 and Manmohan Chandraker are my mentors 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.
Selected Publications
- Anonymous Title Submitted to NeurIPS 2020.
Jinwoo Choi, Gaurav Sharma, and Jia-Bin Huang
- Shuffle and Attend: Video Domain Adaptation European Conference on Computer Vision (ECCV) 2020. (26.4% acceptance rate) [pdf] [project page] [short talk] [long talk] Jinwoo Choi, Gaurav Sharma, Samuel Schulter, and Jia-Bin Huang - Unsupervised and Semi-Supervised Domain Adaptation for Action Recognition from
Drones
Jinwoo Choi, Gaurav Sharma, Manmohan Chandraker, and Jia-Bin Huang - Why Can’t I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Jinwoo Choi, Chen Gao, Joseph Messou, and Jia-Bin Huang,
- Robust Multi-Person Tracking for Real-Time Intelligent Video Surveillance ETRI Journal (SCI), 2015. Jinwoo Choi, Daesung Moon, and Jang-Hee Yoo
- Obscene Video Detection Using Multiple-Classifier Fusion Japan-Korea Joint Workshop on Frontiers of Computer Vision (FCV), 2015. (Oral presentation)
Jinwoo Choi and Seungwan Han
- The Visual Object Tracking
VOT2014 Challenge Results European Conference on Computer Vision (ECCV) Workshop, 2014. [pdf, slide]
Matej Kristan et al. (including Jinwoo Choi),
- Real-Time Multi-Person Tracking in Fixed Surveillance Camera Environment IEEE International Conference on Consumer Electronics (ICCE), 2013. [pdf] Jinwoo Choi and Jang-Hee Yoo
- Multiple Channel Division for Efficient Distributed Video Coding IEEE International Conference on Image Processing (ICIP), 2009. [pdf]
Sang-Uk Park, Young-Yoon Lee, Jinwoo Choi, Chang-Su Kim, and Sang-Uk Lee
- Flexible Complexity Control between Encoder and Decoder for Video Coding IEEE International Workshop on Multimedia Signal Processing (MMSP), 2009. [pdf]
Jinwoo Choi, Sang-Uk Park, Chang-Su Kim, and Sang-Uk Lee
- Efficient Distributed Video Coding Using Symmetric Motion Estimation and Channel Division IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2009. [pdf]
Sang-Uk Park, Jinwoo Choi, Chang-Su Kim, Sang-Uk Lee, Jung Won Kang, and
Kyung Jun Lee
Projects
- 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
- Multiple View Geometry
- Stochastic Signals and Random Processes
- Adaptive Signal Processing
- Multirate Signal Processing
- Image Signal Processing
Skills
- Programming Languages • Python • MATLAB • C/C++ • Java • Shell Script
- Deep Learning Libraries • PyTorch • TensorFlow • Keras • Caffe • MatConvNet
Last update: Aug. 27, 2020
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