Welcome!

Research Experience

January 2021 - Present

Senior Researcher, Artificial Intelligence Application Research Section

Electronics and Telecommunications Research Institute (ETRI), KOREA

January 2020 - January 2021

Research Fellow, working with Prof. Jun Han (SENSG), Dept of Computer Science

Computing School, National University of Singapore (NUS), Singapore

April 2012 - December 2019

Senior Researcher, Artificial Intelligence Application Research Section

Electronics and Telecommunications Research Institute (ETRI), KOREA

Education

The University of Texas at Austin, USA

Ph.D., Electrical and Computer Engineering, May 2012

M.S.E., Electrical and Computer Engineering, August 2007

Advisor: Prof. J. K. Aggarwal

Korea Advanced Institute of Science and Technology, KOREA

B.S., Electrical and Computer Engineering, magna cum laude, August 2005

Publications

Jong Taek Lee+, Eunhee Park+, Jong-Moon Hwang, Tae-Du Jung, Donghwi Park. Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study. Sci Rep 10, 14735 (2020) [link].

Jong Taek Lee, Yu Kai Lim, and Jun Han. Poster Abstract: Don't Wait For Weight: Towards Weight Inference of Passengers and Luggage using Smartphone Camera, 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), Sydney Australia, April. 2020 [poster, video, link]

Jong Taek Lee, Eunhee Park, and Tae-Du Jung. Automatic Detection of the Pharyngeal Phase in Raw Videos for the Videofluoroscopic Swallowing Study Using Efficient Data Collection and 3D Convolutional Networks. Sensors, 19, 3873, September 2019 [link].

Nitya Lakshmanan, Inkyu Bang, Min Suk Kang, Jun Han, Jong Taek Lee. SurFi: Detecting Surveillance Camera Looping Attacks with Wi-Fi Channel State Information. 12th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec 2019), Miami, FL, May. 2019 [pdf].

Jong Taek Lee, Jang-Woon Baek, Kiyoung Moon, and Kil-Taek Lim. Integrating Multiple Inferences for Vehicle Detection by Focusing on Challenging Test Sets. 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Auckland, New Zealand, Nov. 27, 2018 [The Winner in AVSS2018 Challenge on Advanced Traffic Monitoring, Multi-object Detection, IWT4S] [pdf] [news link].

Siwei Lyu, Ming-Ching Chang, Dawei Du1, Wenbo Li, Yi Wei, Marco Del Coco, Pierluigi Carcagn, Arne Schumann, Bharti Munjal, Dinh-Quoc-Trung Dang, DooHyun Choi, Erik Bochinski10, Fabio Galasso, Filiz Bunyak, Guna Seetharaman, Jang-Woon Baek, Jong Taek Lee, Kannappan Palaniappan, Kil-Taek Lim, Kiyoung Moon, Kwang-Ju Kim, Lars Sommer, Meltem Brandlmaier, Min-Sung Kang, Moongu Jeon, Noor M. Al-Shakarji, Oliver Acatay, Pyong-Kun Kim, Sikandar Amin, Thomas Sikora, Tien Dinh, Tobias Senst, Vu-Gia-Hy Che, Young-Chul Lim, Young-min Song, and Yun-Su Chung. UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Auckland, New Zealand, Nov. 27, 2018.

Jong Taek Lee and Eunhee Park. Detection of the Pharyngeal Phase in the Videofluoroscopic Swallowing Study using Inflated 3D Convolutional Networks. The 9th International Conference on Machine Learning in Medical Imaging (MLMI 2018), Granada, Spain, Sep. 16, 2018 [pdf].

Ho-Yeon Ahn and Jong Taek Lee*. Classification of vehicles based on Faster R-CNN suitable for use in actual road environments. Journal of Korean Institute of Intelligent Systems, 28 (3), 210-218, June 2018 (*: corresponding author).

Jong Taek Lee and Yunsu Chung. Deep Learning-Based Vehicle Classification Using an Ensemble of Local Expert and Global Networks. The IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Honolulu, HI, July 2017 [2nd place in MIO-TCD Vehicle Classification Challenge].

Jong Taek Lee, Hyunwoo Kang, Kil-Taek Lim. Moving Shadow Detection using Deep Learning and Markov Random Field. Journal of Korea Multimedia Society, 18 (12), 1432-1438, December 2015.

Jong Taek Lee, Kil-Taek Lim, and Yunsu Chung. Moving Shadow Detection from Background Image and Deep Learning. Pacific-Rim Symposium on Image and Video Technology, 299-306, October 2015.

Byung-Gil Han, Jong Taek Lee*, Kil-Taek Lim, and Yunsu Chung. Real-Time License Plate Detection in High-Resolution Videos Using Fastest Available Cascade Classifier and Core Patterns, ETRI Journal, 37(2):251-261, 2015 (*: corresponding author).

Jong Taek Lee+, Chia-Chih Chen+, and J. K. Aggarwal, "Recognizing Human-Vehicle Interactions from Aerial Video without Training", The IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Colorado Springs, CO, June 2011 (+ indicates these two authors contributed equally to the paper).

S. Oh, A. Hoogs, A. Perera, N. Cuntoor, C.-C. Chen, Jong Taek Lee, S. Mukherjee, J. K. Aggarwal, H. Lee, L. Davis, E. Swears, X. Wang, Q. Ji, K. Reddy, M. Shah, C. Vondrick, H. Pirsiavash, D. Ramanan, J. Yuen, A. Torralba, B. Song, A. Roy-Chowdhury, and M. Desai, "A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, June 2011.

Michael S. Ryoo+, Jong Taek Lee+, and J. K Aggarwal. .Video Scene Analysis of Interactions between Humans and Vehicles Using Event Context. ACM International Conference on Image and Video Retrieval (CIVR), Xian, China, July 2010 (+ indicates these two authors contributed equally to the paper).

Jong Taek Lee, Michael S. Ryoo, and J. K Aggarwal. View Independent Recognition of Human-vehicle Interactions using 3-D Models. IEEE Workshop on Motion and Video Computing (WMVC), Snowbird, Utah, December 2009.

Jong Taek Lee, Michael. S. Ryoo, Matthew Riley, and J. K. Aggarwal. Real-Time Illegal Parking Detection in Outdoor Environments Using 1-D Transformation", IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT). 19(7):1014-1024, July 2009.

Jong Taek Lee, M. S. Ryoo, Matthew Riley, and J. K. Aggarwal. Real-time Detection of Illegally Parked Vehicles using 1-D Transformation. Proceedings of IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS), London, UK, September 2007.

Contact

jtlee at utexas.edu (or jongtaeklee at etri.re.kr)