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Jong Taek Lee
Jong Taek Lee
Kyungpook National University
Bestätigte E-Mail-Adresse bei utexas.edu - Startseite
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Zitiert von
Zitiert von
Jahr
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
9012011
UA-DETRAC 2017: Report of AVSS2017 & IWT4S challenge on advanced traffic monitoring
S Lyu, MC Chang, D Du, L Wen, H Qi, Y Li, Y Wei, L Ke, T Hu, M Del Coco, ...
2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017
1432017
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
792009
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
482015
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
40*2017
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), 14735, 2020
372020
License plate image generation using generative adversarial networks for end-to-end license plate character recognition from a small set of real images
BG Han, JT Lee, KT Lim, DH Choi
Applied Sciences 10 (8), 2780, 2020
322020
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
322007
AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video
Q Ji, X Wang, L Davis, H Lee, JK Aggarwal, S Mukherjee, JT Lee, ...
2011 8th IEEE international conference on advanced video and signal based …, 2011
232011
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
212019
Moving shadow detection from background image and deep learning
JT Lee, KT Lim, Y Chung
Image and Video Technology–PSIVT 2015 Workshops: RV 2015, GPID 2013, VG 2015 …, 2016
162016
Recognizing human-vehicle interactions from aerial video without training
JT Lee, CC Chen, JK Aggarwal
CVPR 2011 WORKSHOPS, 53-60, 2011
142011
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
132019
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
11*2018
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
112010
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
102009
Acoustics to the rescue: Physical key inference attack revisited
S Ramesh, R Xiao, A Maiti, JT Lee, H Ramprasad, A Kumar, M Jadliwala, ...
30th USENIX Security Symposium (USENIX Security 21), 3255-3272, 2021
82021
Machine learning-based classification of dependence in ambulation in stroke patients using smartphone video data
JT Lee, E Park, TD Jung
Journal of Personalized Medicine 11 (11), 1080, 2021
72021
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
62015
Detection of the pharyngeal phase in the videofluoroscopic swallowing study using inflated 3d convolutional networks
JT Lee, E Park
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018
42018
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