Seung-Ik Lee

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 48

Top Topics

Anomaly Detection

Robust Regression

Variational Bayesian

Weakly Supervised

Top Venues

Publications

Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies. CoRR (2024)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data. CoRR (2024)
Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
Exploiting autoencoder's weakness to generate pseudo anomalies. Neural Comput. Appl. 36 (23) (2024)
Seung-Min Choi, Seung-Ik Lee, Jae-Yeong Lee, In So Kweon
Semantic-guided de-attention with sharpened triplet marginal loss for visual place recognition. Pattern Recognit. 141 (2023)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. Neurocomputing 534 (2023)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. CoRR (2023)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies. UR (2022)
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. CoRR (2022)
Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. IEEE Trans. Image Process. 31 (2022)
Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CoRR (2022)
Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. CoRR (2022)
Namkyoo Kang, Seungeun Han, Seungyeon Kim, SeungJoon Kwon, Yeongjae Choi, Yong-Tae Lee, Seung-Ik Lee
Driver Drowsiness Detection based on 3D Convolution Neural Network with Optimized Window Size. ICTC (2022)
Muhammad Zaigham Zaheer, Arif Mahmood, M. Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CVPR (2022)
Mustansar Fiaz, Muhammad Zaigham Zaheer, Arif Mahmood, Seung-Ik Lee, Soon Ki Jung
4G-VOS: Video Object Segmentation using guided context embedding. Knowl. Based Syst. 231 (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
Learning Not to Reconstruct Anomalies. BMVC (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
Domain-Robust Pedestrian-View Intersection Classification. ICTC (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. ICCVW (2021)
Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Deep Visual Anomaly detection with Negative Learning. CoRR (2021)
Yoo-Kyung Lee, Dong-Hwan Lee, Jaehun Choi, Jang-Hee Yoo, Seung-Ik Lee
Does Identity Mapping Really Help in ResNet? ICTC (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. CoRR (2021)
Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee
Small Object Detection using Context and Attention. ICAIIC (2021)
Yohan Lim, Namhyeong Kim, Seung Yun, Sang-Hun Kim, Seung-Ik Lee
A Preliminary Study on Wav2Vec 2.0 Embeddings for Text-to-Speech. ICTC (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
Learning Not to Reconstruct Anomalies. CoRR (2021)
Seungyeol Lee, Young Hoon Cho, Myung-Ki Shin, Jinwuk Seok, Seung-Ik Lee
TRUMP: Trace Revisitation for User Mobility Prediction. ICTC (2021)
Muhammad Zaigham Zaheer, Arif Mahmood, M. Haris Khan, Marcella Astrid, Seung-Ik Lee
An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. ICCVW (2021)
Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Deep Visual Anomaly Detection with Negative Learning. IW-FCV (2021)
Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Arif Mahmood, Seung-Ik Lee
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. CoRR (2021)
Marcella Astrid, Jin Ha Lee, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
For Safer Navigation: Pedestrian-View Intersection Classification. ICTC (2020)
Muhammad Zaigham Zaheer, Jin Ha Lee, Marcella Astrid, Seung-Ik Lee
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CoRR (2020)
Yu-Lim Min, Seung-Jin Hong, Hye Jin Kim, Seung-Ik Lee
Generative Adversarial Network for Robust Regression using Continuous Dataset. ICTC (2020)
Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. IEEE Signal Process. Lett. 27 (2020)
Jin-Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee
SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. CVPR Workshops (2020)
Hyeon Joong Wi, Joon Gyu Maeng, Dong Hun Yang, In-Sung Jang, Seung-Ik Lee, Sang Gi Hong
Map aerial photography Inpainting for missing error Using AutoEncoder. ICTC (2020)
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. ECCV (22) (2020)
Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. CoRR (2020)
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. CoRR (2020)
Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Seung-Ik Lee
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CVPR (2020)
Jin Ha Lee, Ik hee Shin, Sang gu Jeong, Seung-Ik Lee, Muhamamad Zaigham Zaheer, Beom-Su Seo
Improvement in Deep Networks for Optimization Using eXplainable Artificial Intelligence. ICTC (2019)
Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee
Small Object Detection using Context and Attention. CoRR (2019)
Muhammad Zaigham Zaheer, Jin Ha Lee, Seung-Ik Lee, Beom-Su Seo
A Brief Survey on Contemporary Methods for Anomaly Detection in Videos. ICTC (2019)
Marcella Astrid, Seung-Ik Lee, Beom-Su Seo
Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization. ICACT (2018)
Marcella Astrid, Seung-Ik Lee, Beom-Su Seo
Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization. CoRR (2018)
Hwa-Yeon Kim, Jinsu Lee, Na Young Yeo, Marcella Astrid, Seung-Ik Lee, Young-Kil Kim
CNN based Sentence Classification with Semantic Features using Word Clustering. ICTC (2018)
Marcella Astrid, Seung-Ik Lee
CP-decomposition with Tensor Power Method for Convolutional Neural Networks Compression. CoRR (2017)
Marcella Astrid, Seung-Ik Lee
CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression. BigComp (2017)
Eun-Do Kim, Yunchul Choi, Seung-Ik Lee, Hyoung Jun Kim
Enhanced Flow Table Management Scheme With an LRU-Based Caching Algorithm for SDN. IEEE Access 5 (2017)
Seung-Ik Lee, Seungwoog Jung, Su-Young Chi
Structuring Mobile User Context Based on Spatio-Temporal Information. BigDAS (2015)
Seungwoog Jung, Seung-Ik Lee, Su-Young Chi, Hoon Choi
POI Estimation Method with Incremental Update based on Smartphones. BigDAS (2015)
Eun-Do Kim, Yunchul Choi, Seung-Ik Lee, Myung-Ki Shin, Hyoung-Jun Kim
Flow table management scheme applying an LRU caching algorithm. ICTC (2014)
Seung-Ik Lee, Shin-Gak Kang
NGSON: features, state of the art, and realization. IEEE Commun. Mag. 50 (1) (2012)
Dong-Bum Kim, Chang-Eun Lee, Hyun-Ja Im, Seung-Ik Lee, Young-Jo Cho, Sunghoon Kim
Network management in collective intelligent robotic environment. URAI (2011)
Seung-Ik Lee, Jong-Hwa Yi, Shin-Gak Kang
Context-Aware Service Overlay Network: Concept and Case Study. APSCC (2011)
Seung-Ik Lee, Dongman Lee, Yangwoo Ko, Shin-Gak Kang
A nondisruptive multi-path handoff scheme for peer-to-peer live video streaming. ICTC (2010)
Seung-Ik Lee, Yangwoo Ko, Dongman Lee, Soon J. Hyun
A Nondisruptive Adaptation Scheme for Peer-to-Peer Live Video Streaming during Vertical Handoff. CCNC (2009)
Seung-Ik Lee, Sung-Bae Cho
Observational emergence in evolutionary fuzzy robotics. Int. J. Model. Identif. Control. 3 (1) (2008)
Seung-Ik Lee, Choulsoo Jang, Sunghoon Kim, Myungchan Roh, Beom-Su Seo
Issues and Implementation of a URC Home Service Robot. RO-MAN (2007)
Seung-Ik Lee, Gunn-Yong Park, Joong-Bae Kim
Natural Emotion Expression of a Robot Based on Reinforcer Intensity and Contingency. ICRA (2007)
Jongmin Park, Seung-Ik Lee, Yangwoo Ko, Dongman Lee
An Efficient Shared Learning Scheme for Layered Video Streaming over Application Layer Multicast. CIT (2007)
Gunn-Yong Park, Seung-Ik Lee, Woo-Young Kwon, Joong-Bae Kim
Neurocognitive Affective System for an Emotive Robot. IROS (2006)
Gunn-Yong Park, Seung-Ik Lee, Joong-Bae Kim
A Neuroscientific Approach to Emotion System for Intelligent Agents. EUC (2006)
Wonyong Yoon, Dongman Lee, Hee Yong Youn, Seung-Ik Lee
A combined group/tree approach for scalable many-to-many reliable multicast. Comput. Commun. 29 (18) (2006)
Eun-Su Kim, Sung-Hak Lee, Soo-Wook Jang, Seung-Ik Lee, Chan-Ho Han, Kyu-Ik Sohng
Chromatic Adaptation Model for the Variations of the Luminance. CISST (2005)
Seung-Ik Lee, Duk-Gyoo Kim
The Feature Vector Selection for Robust Multiple Face Detection. Panhellenic Conference on Informatics (2005)
Chul-Ho Won, Seung-Ik Lee, Dong Hun Kim, Jin-Ho Cho
Lung Detection by Using Geodesic Active Contour Model Based on Characteristics of Lung Parenchyma Region. PCM (1) (2005)
Seung-Ik Lee, Sung-Bae Cho
A quantitative analysis of evolvability for an evolutionary fuzzy logic controller. Integr. Comput. Aided Eng. 10 (4) (2003)
Wonyong Yoon, Dongman Lee, Hee Yong Youn, Seung-Ik Lee, Seok Joo Koh
A Combined Group/Tree Approach for Many-to-Many Reliable Multicast. INFOCOM (2002)
Seung-Ik Lee, Sung-Bae Cho
Measuring evolvability in evolutionary fuzzy robotics. IEEE Congress on Evolutionary Computation (2002)
Seung-Ik Lee, Sung-Bae Cho
Emergent behaviors of a fuzzy sensory-motor controller evolved by genetic algorithm. IEEE Trans. Syst. Man Cybern. Part B 31 (6) (2001)
Seung-Ik Lee, Sung-Bae Cho
Observational emergence of a fuzzy controller evolved by genetic algorithm. CEC (2001)
Seung-Ik Lee, Chul Sung, Sung-Bae Cho
An Effective Conversational Agent with User Modeling Based on Bayesian Network. Web Intelligence (2001)
Sung-Bae Cho, Seung-Ik Lee
Mobile robot learning by evolution of fuzzy controller. J. Intell. Fuzzy Syst. 6 (1) (1998)
Sung-Bae Cho, Seung-Ik Lee
Hybrid Evolutionary Learning of Fuzzy Logic and Genetic Algorithm. SEAL (1996)