Seung-Ik Lee
Cited by
Cited by
Small object detection using context and attention
JS Lim, M Astrid, HJ Yoon, SI Lee
2021 international Conference on Artificial intelligence in information and …, 2021
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
MZ Zaheer, J Lee, M Astrid, SI Lee
cvpr 2020(Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2020
OPRoS: A New Component‐Based Robot Software Platform
C Jang, SI Lee, SW Jung, B Song, R Kim, S Kim, CH Lee
ETRI journal 32 (5), 646-656, 2010
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
MZ Zaheer, A Mahmood, M Astrid, SI Lee
eccv 2020(16the european conference on computer vision), 2020
Generative cooperative learning for unsupervised video anomaly detection
MZ Zaheer, A Mahmood, MH Khan, M Segu, F Yu, SI Lee
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Cp-decomposition with tensor power method for convolutional neural networks compression
M Astrid, SI Lee
2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels
MZ Zaheer, A Mahmood, H Shin, SI Lee
IEEE Signal Processing Letters (accepted), 2020
Emergent behaviors of a fuzzy sensory-motor controller evolved by genetic algorithm
SI Lee, SB Cho
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 31 …, 2001
SmoothMix: A Simple Yet Effective Data Augmentation to Train Robust Classifiers
JH Lee, M Zaigham Zaheer, M Astrid, SI Lee
cvprw(Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Cleaning label noise with clusters for minimally supervised anomaly detection
MZ Zaheer, J Lee, M Astrid, A Mahmood, SI Lee
arXiv preprint arXiv:2104.14770, 2021
Synthetic temporal anomaly guided end-to-end video anomaly detection
M Astrid, MZ Zaheer, SI Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision, 207-214, 2021
Learning not to reconstruct anomalies
M Astrid, MZ Zaheer, JY Lee, SI Lee
arXiv preprint arXiv:2110.09742, 2021
An anomaly detection system via moving surveillance robots with human collaboration
MZ Zaheer, A Mahmood, MH Khan, M Astrid, SI Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
로봇 소프트웨어 아키텍처의 연구동향과 현황
이승익, 장철수, 정승욱, 김중배
전자통신동향분석 2005 (4), 1-13, 2005
Neurocognitive affective system for an emotive robot
GY Park, SI Lee, WY Kwon, JB Kim
2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006
Exploiting diversity of neural ensembles with speciated evolution
SI Lee, JH Ahn, SB Cho
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
An effective conversational agent with user modeling based on Bayesian network
SI Lee, C Sung, SB Cho
Web Intelligence: Research and Development: First Asia-Pacific Conference …, 2001
Deep compression of convolutional neural networks with low‐rank approximation
M Astrid, SI Lee
ETRI journal 40 (4), 421-434, 2018
Issues and implementation of a URC home service robot
SI Lee, CS Jang, SH Kim, MC Roh, BS Seo
RO-MAN 2007-The 16th IEEE International Symposium on Robot and Human …, 2007
Robot for generating multiple emotions and method of generating multiple emotions in robot
SI Lee, GY Park
US Patent 7,778,730, 2010
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