Jong Taek Lee
Jong Taek Lee
Electronics and Telecommunications Research Institute (ETRI)
Verified email at - Homepage
Cited by
Cited by
A large-scale benchmark dataset for event recognition in surveillance video
S Oh, A Hoogs, A Perera, N Cuntoor, CC Chen, JT Lee, S Mukherjee, ...
CVPR 2011, 3153-3160, 2011
UA-DETRAC 2018: Report of AVSS2018 & IWT4S challenge on advanced traffic monitoring
S Lyu, MC Chang, D Du, W Li, Y Wei, M Del Coco, P Carcagnė, ...
2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018
Real-time illegal parking detection in outdoor environments using 1-D transformation
JT Lee, MS Ryoo, M Riley, JK Aggarwal
IEEE Transactions on Circuits and Systems for Video Technology 19 (7), 1014-1024, 2009
Real‐time license plate detection in high‐resolution videos using fastest available cascade classifier and core patterns
BG Han, JT Lee, KT Lim, Y Chung
Etri Journal 37 (2), 251-261, 2015
Real-time detection of illegally parked vehicles using 1-D transformation
JT Lee, MS Ryoo, M Riley, JK Aggarwal
2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 254-259, 2007
Deep Learning-Based Vehicle Classification Using an Ensemble of Local Expert and Global Networks
JT Lee, Y Chung
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017
Moving shadow detection from background image and deep learning
JT Lee, KT Lim, Y Chung
Image and Video Technology, 299-306, 2015
Recognizing human-vehicle interactions from aerial video without training
JT Lee, CC Chen, JK Aggarwal
CVPR 2011 WORKSHOPS, 53-60, 2011
Video scene analysis of interactions between humans and vehicles using event context
MS Ryoo, JT Lee, JK Aggarwal
Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010
View independent recognition of human-vehicle interactions using 3-d models
JT Lee, MS Ryoo, JK Aggarwal
2009 Workshop on Motion and Video Computing (WMVC), 1-8, 2009
Automatic detection of the pharyngeal phase in raw videos for the videofluoroscopic swallowing study using efficient data collection and 3D convolutional networks
JT Lee, E Park, TD Jung
Sensors 19 (18), 3873, 2019
Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study
JT Lee, E Park, JM Hwang, TD Jung, D Park
Scientific Reports 10 (1), 1-9, 2020
Classification of vehicles based on Faster R-CNN suitable for use in actual road environments (실제 도로환경에 적합한 Faster R-CNN 기반 차종 분류)
HY Ahn, JT Lee
Journal of Korean institute of intelligent systems (한국지능시스템학회 논문 …, 2018
Moving Shadow Detection using Deep Learning and Markov Random Field
JT Lee, H Kang, KT Lim
Journal of Korea Multimedia Society 18 (12), 1432-1438, 2015
SurFi: detecting surveillance camera looping attacks with wi-fi channel state information
N Lakshmanan, I Bang, MS Kang, J Han, JT Lee
Proceedings of the 12th Conference on Security and Privacy in Wireless and …, 2019
SurFi: Detecting Surveillance Camera Looping Attacks with Wi-Fi Channel State Information (Extended Version)
N Lakshmanan, I Bang, MS Kang, J Han, JT Lee
arXiv preprint arXiv:1904.01350, 2019
Detection of the Pharyngeal Phase in the Videofluoroscopic Swallowing Study Using Inflated 3D Convolutional Networks
JT Lee, E Park
International Workshop on Machine Learning in Medical Imaging, 328-336, 2018
Don't Wait For Weight: Towards Weight Inference of Passengers and Luggage using Smartphone Camera
JT Lee, YK Lim, J Han
2020 19th ACM/IEEE International Conference on Information Processing in …, 2020
Integrating Multiple Inferences for Vehicle Detection by Focusing on Challenging Test Sets
JT Lee, JW Baek, K Moon, KT Lim
2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018
The system can't perform the operation now. Try again later.
Articles 1–19