Hybrid Evolutionary Learning of Fuzzy Logic and Genetic Algorithm. - Sung-Bae Cho; Seung-Ik Lee (SEAL, 1996)

Mobile robot learning by evolution of fuzzy controller. - Sung-Bae Cho; Seung-Ik Lee (J. Intell. Fuzzy Syst., 1998)

Observational emergence of a fuzzy controller evolved by genetic algorithm. - Seung-Ik Lee; Sung-Bae Cho (CEC, 2001)

An Effective Conversational Agent with User Modeling Based on Bayesian Network. - Seung-Ik Lee; Chul Sung; Sung-Bae Cho (Web Intelligence, 2001)

Emergent behaviors of a fuzzy sensory-motor controller evolved by genetic algorithm. - Seung-Ik Lee; Sung-Bae Cho (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Measuring evolvability in evolutionary fuzzy robotics. - Seung-Ik Lee; Sung-Bae Cho (IEEE Congress on Evolutionary Computation, 2002)

A Combined Group/Tree Approach for Many-to-Many Reliable Multicast. - Wonyong Yoon; Dongman Lee; Hee Yong Youn; Seung-Ik Lee; Seok Joo Koh (INFOCOM, 2002)

A quantitative analysis of evolvability for an evolutionary fuzzy logic controller. - Seung-Ik Lee; Sung-Bae Cho (Integr. Comput. Aided Eng., 2003)

Chromatic Adaptation Model for the Variations of the Luminance. - Eun-Su Kim; Sung-Hak Lee; Soo-Wook Jang; Seung-Ik Lee; Chan-Ho Han; Kyu-Ik Sohng (CISST, 2005)

The Feature Vector Selection for Robust Multiple Face Detection. - Seung-Ik Lee; Duk-Gyoo Kim (Panhellenic Conference on Informatics, 2005)

Lung Detection by Using Geodesic Active Contour Model Based on Characteristics of Lung Parenchyma Region. - Chul-Ho Won; Seung-Ik Lee; Dong Hun Kim; Jin-Ho Cho (PCM (1), 2005)

A Neuroscientific Approach to Emotion System for Intelligent Agents. - Gunn-Yong Park; Seung-Ik Lee; Joong-Bae Kim (EUC, 2006)

Neurocognitive Affective System for an Emotive Robot. - Gunn-Yong Park; Seung-Ik Lee; Woo-Young Kwon; Joong-Bae Kim (IROS, 2006)

A combined group/tree approach for scalable many-to-many reliable multicast. - Wonyong Yoon; Dongman Lee; Hee Yong Youn; Seung-Ik Lee (Comput. Commun., 2006)

An Efficient Shared Learning Scheme for Layered Video Streaming over Application Layer Multicast. - Jongmin Park; Seung-Ik Lee; Yangwoo Ko; Dongman Lee (CIT, 2007)

Natural Emotion Expression of a Robot Based on Reinforcer Intensity and Contingency. - Seung-Ik Lee; Gunn-Yong Park; Joong-Bae Kim (ICRA, 2007)

Issues and Implementation of a URC Home Service Robot. - Seung-Ik Lee; Choulsoo Jang; Sunghoon Kim; Myungchan Roh; Beom-Su Seo (RO-MAN, 2007)

Observational emergence in evolutionary fuzzy robotics. - Seung-Ik Lee; Sung-Bae Cho (Int. J. Model. Identif. Control., 2008)

A Nondisruptive Adaptation Scheme for Peer-to-Peer Live Video Streaming during Vertical Handoff. - Seung-Ik Lee; Yangwoo Ko; Dongman Lee; Soon J. Hyun (CCNC, 2009)

A nondisruptive multi-path handoff scheme for peer-to-peer live video streaming. - Seung-Ik Lee; Dongman Lee; Yangwoo Ko; Shin-Gak Kang (ICTC, 2010)

Context-Aware Service Overlay Network: Concept and Case Study. - Seung-Ik Lee; Jong-Hwa Yi; Shin-Gak Kang (APSCC, 2011)

Network management in collective intelligent robotic environment. - Dong-Bum Kim; Chang-Eun Lee; Hyun-Ja Im; Seung-Ik Lee; Young-Jo Cho; Sunghoon Kim 001 (URAI, 2011)

NGSON: features, state of the art, and realization. - Seung-Ik Lee; Shin-Gak Kang (IEEE Commun. Mag., 2012)

Flow table management scheme applying an LRU caching algorithm. - Eun-Do Kim; Yunchul Choi; Seung-Ik Lee; Myung-Ki Shin; Hyoung-Jun Kim (ICTC, 2014)

POI Estimation Method with Incremental Update based on Smartphones. - Seungwoog Jung; Seung-Ik Lee; Su-Young Chi; Hoon Choi (BigDAS, 2015)

Structuring Mobile User Context Based on Spatio-Temporal Information. - Seung-Ik Lee; Seungwoog Jung; Su-Young Chi (BigDAS, 2015)

CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression. - Marcella Astrid; Seung-Ik Lee (BigComp, 2017)

Enhanced Flow Table Management Scheme With an LRU-Based Caching Algorithm for SDN. - Eun-Do Kim; Yunchul Choi; Seung-Ik Lee; Hyoung Jun Kim (IEEE Access, 2017)

Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization. - Marcella Astrid; Seung-Ik Lee; Beom-Su Seo (ICACT, 2018)

CNN based Sentence Classification with Semantic Features using Word Clustering. - Hwa-Yeon Kim; Jinsu Lee; Na Young Yeo; Marcella Astrid; Seung-Ik Lee; Young-Kil Kim (ICTC, 2018)

Improvement in Deep Networks for Optimization Using eXplainable Artificial Intelligence. - Jin Ha Lee 002; Ik hee Shin; Sang gu Jeong; Seung-Ik Lee; Muhamamad Zaigham Zaheer; Beom-Su Seo (ICTC, 2019)

A Brief Survey on Contemporary Methods for Anomaly Detection in Videos. - Muhammad Zaigham Zaheer; Jin Ha Lee 002; Seung-Ik Lee; Beom-Su Seo (ICTC, 2019)

SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. - Jin-Ha Lee 002; Muhammad Zaigham Zaheer; Marcella Astrid; Seung-Ik Lee (CVPR Workshops, 2020)

Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. - Muhammad Zaigham Zaheer; Jin-Ha Lee 002; Marcella Astrid; Seung-Ik Lee (CVPR, 2020)

CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. - Muhammad Zaigham Zaheer; Arif Mahmood; Marcella Astrid; Seung-Ik Lee (ECCV (22), 2020)

For Safer Navigation: Pedestrian-View Intersection Classification. - Marcella Astrid; Jin Ha Lee 002; Muhammad Zaigham Zaheer; Jae-Yeong Lee; Seung-Ik Lee (ICTC, 2020)

Generative Adversarial Network for Robust Regression using Continuous Dataset. - Yulim Min; Seung-Jin Hong; Hye Jin Kim; Seung-Ik Lee (ICTC, 2020)

Map aerial photography Inpainting for missing error Using AutoEncoder. - Hyeon Joong Wi; Joon Gyu Maeng; Dong Hun Yang; In-Sung Jang; Seung-Ik Lee; Sang Gi Hong (ICTC, 2020)

A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. - Muhammad Zaigham Zaheer; Arif Mahmood; Hochul Shin; Seung-Ik Lee (IEEE Signal Process. Lett., 2020)

Learning Not to Reconstruct Anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Jae-Yeong Lee; Seung-Ik Lee (BMVC, 2021)

Deep Visual Anomaly Detection with Negative Learning. - Jin Ha Lee 002; Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (IW-FCV, 2021)

Small Object Detection using Context and Attention. - Jeong-Seon Lim; Marcella Astrid; Hyun-Jin Yoon; Seung-Ik Lee (ICAIIC, 2021)

Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (ICCVW, 2021)

An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. - Muhammad Zaigham Zaheer; Arif Mahmood; Muhammad Haris Khan; Marcella Astrid; Seung-Ik Lee (ICCVW, 2021)

Domain-Robust Pedestrian-View Intersection Classification. - Marcella Astrid; Muhammad Zaigham Zaheer; Jae-Yeong Lee; Seung-Ik Lee (ICTC, 2021)

TRUMP: Trace Revisitation for User Mobility Prediction. - Seungyeol Lee; Young Hoon Cho; Myung-Ki Shin; Jinwuk Seok; Seung-Ik Lee (ICTC, 2021)

Does Identity Mapping Really Help in ResNet? - Yoo-Kyung Lee; Dong-Hwan Lee; Jaehun Choi; Jang-Hee Yoo; Seung-Ik Lee (ICTC, 2021)

A Preliminary Study on Wav2Vec 2.0 Embeddings for Text-to-Speech. - Yohan Lim; Namhyeong Kim; Seung Yun; Sang-Hun Kim; Seung-Ik Lee (ICTC, 2021)

Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. - Muhammad Zaigham Zaheer; Jin-Ha Lee 002; Marcella Astrid; Arif Mahmood; Seung-Ik Lee (CoRR, 2021)

4G-VOS: Video Object Segmentation using guided context embedding. - Mustansar Fiaz; Muhammad Zaigham Zaheer; Arif Mahmood; Seung-Ik Lee; Soon Ki Jung (Knowl. Based Syst., 2021)

Generative Cooperative Learning for Unsupervised Video Anomaly Detection. - Muhammad Zaigham Zaheer; Arif Mahmood; Muhammad Haris Khan; Mattia Segù; Fisher Yu 001; Seung-Ik Lee (CVPR, 2022)

Driver Drowsiness Detection based on 3D Convolution Neural Network with Optimized Window Size. - Namkyoo Kang; Seungeun Han; Seungyeon Kim 004; SeungJoon Kwon; Yeongjae Choi; Yong-Tae Lee; Seung-Ik Lee (ICTC, 2022)

Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (UR, 2022)

Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. - Muhammad Zaigham Zaheer; Jin Ha Lee 002; Arif Mahmood; Marcella Astrid; Seung-Ik Lee (IEEE Trans. Image Process., 2022)

PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (Neurocomputing, 2023)

Semantic-guided de-attention with sharpened triplet marginal loss for visual place recognition. - Seung-Min Choi; Seung-Ik Lee; Jae-Yeong Lee; In So Kweon (Pattern Recognit., 2023)

Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (CoRR, 2024)

Exploiting autoencoder's weakness to generate pseudo anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Djamila Aouada; Seung-Ik Lee (Neural Comput. Appl., 2024)

Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. - Muhammad Zaigham Zaheer; Arif Mahmood; Marcella Astrid; Seung-Ik Lee (IEEE Trans. Neural Networks Learn. Syst., 2024)