Seung-Ik Lee - RankMe

74 papers A* 4A 2B 3C 3Journal 30Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Pose360: Metric-Scale Visual Odometry by Grounding Learned Features with LiDAR Depth. ICAIIC Kemal Mudie Tosora, Seher Kanwal, Seung-Ik Lee
2024	J	`jnl`	Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. IEEE Trans. Neural Networks Learn. Syst. Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2024	J	`jnl`	Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2024	J	`jnl`	Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
2024	J	`jnl`	Exploiting autoencoder's weakness to generate pseudo anomalies. Neural Comput. Appl. Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
2023	J	`jnl`	PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2023	J	`jnl`	PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. Neurocomputing Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2023	J	`jnl`	Semantic-guided de-attention with sharpened triplet marginal loss for visual place recognition. Pattern Recognit. Seung-Min Choi, Seung-Ik Lee, Jae-Yeong Lee, In So Kweon
2022	J	`jnl`	Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. CoRR Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2022	—	`conf`	Driver Drowsiness Detection based on 3D Convolution Neural Network with Optimized Window Size. ICTC Namkyoo Kang, Seungeun Han, Seungyeon Kim, SeungJoon Kwon, Yeongjae Choi, Yong-Tae Lee, Seung-Ik Lee
2022	A*	`conf`	Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CVPR Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
2022	J	`jnl`	Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CoRR Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
2022	—	`conf`	Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies. UR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2022	J	`jnl`	Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. CoRR Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2022	J	`jnl`	Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. IEEE Trans. Image Process. Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2021	J	`jnl`	4G-VOS: Video Object Segmentation using guided context embedding. Knowl. Based Syst. Mustansar Fiaz, Muhammad Zaigham Zaheer, Arif Mahmood, Seung-Ik Lee, Soon Ki Jung
2021	—	`conf`	A Preliminary Study on Wav2Vec 2.0 Embeddings for Text-to-Speech. ICTC Yohan Lim, Namhyeong Kim, Seung Yun, Sang-Hun Kim, Seung-Ik Lee
2021	—	`conf`	An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. ICCVW Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Marcella Astrid, Seung-Ik Lee
2021	J	`jnl`	Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. CoRR Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Arif Mahmood, Seung-Ik Lee
2021	—	`conf`	Deep Visual Anomaly Detection with Negative Learning. IW-FCV Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2021	J	`jnl`	Deep Visual Anomaly detection with Negative Learning. CoRR Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2021	—	`conf`	Does Identity Mapping Really Help in ResNet? ICTC Yoo-Kyung Lee, Dong-Hwan Lee, Jaehun Choi, Jang-Hee Yoo, Seung-Ik Lee
2021	—	`conf`	Domain-Robust Pedestrian-View Intersection Classification. ICTC Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2021	A	`conf`	Learning Not to Reconstruct Anomalies. BMVC Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2021	J	`jnl`	Learning Not to Reconstruct Anomalies. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2021	—	`conf`	Small Object Detection using Context and Attention. ICAIIC Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee
2021	—	`conf`	Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. ICCVW Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2021	J	`jnl`	Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2021	—	`conf`	TRUMP: Trace Revisitation for User Mobility Prediction. ICTC Seungyeol Lee, Young Hoon Cho, Myung-Ki Shin, Jinwuk Seok, Seung-Ik Lee
2020	J	`jnl`	A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. CoRR Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee
2020	J	`jnl`	A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. IEEE Signal Process. Lett. Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee
2020	—	`conf`	CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. ECCV (22) Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2020	J	`jnl`	CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. CoRR Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2020	—	`conf`	For Safer Navigation: Pedestrian-View Intersection Classification. ICTC Marcella Astrid, Jin Ha Lee, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2020	—	`conf`	Generative Adversarial Network for Robust Regression using Continuous Dataset. ICTC Yulim Min, Seung-Jin Hong, Hye Jin Kim, Seung-Ik Lee
2020	—	`conf`	Map aerial photography Inpainting for missing error Using AutoEncoder. ICTC Hyeon Joong Wi, Joon Gyu Maeng, Dong Hun Yang, In-Sung Jang, Seung-Ik Lee, Sang Gi Hong
2020	A*	`conf`	Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CVPR Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Seung-Ik Lee
2020	J	`jnl`	Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CoRR Muhammad Zaigham Zaheer, Jin Ha Lee, Marcella Astrid, Seung-Ik Lee
2020	—	`conf`	SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. CVPR Workshops Jin-Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee
2019	—	`conf`	A Brief Survey on Contemporary Methods for Anomaly Detection in Videos. ICTC Muhammad Zaigham Zaheer, Jin Ha Lee, Seung-Ik Lee, Beom-Su Seo
2019	—	`conf`	Improvement in Deep Networks for Optimization Using eXplainable Artificial Intelligence. ICTC Jin Ha Lee, Ik hee Shin, Sang gu Jeong, Seung-Ik Lee, Muhamamad Zaigham Zaheer, Beom-Su Seo
2019	J	`jnl`	Small Object Detection using Context and Attention. CoRR Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee
2018	—	`conf`	CNN based Sentence Classification with Semantic Features using Word Clustering. ICTC Hwa-Yeon Kim, Jinsu Lee, Na Young Yeo, Marcella Astrid, Seung-Ik Lee, Young-Kil Kim
2018	J	`jnl`	Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization. CoRR Marcella Astrid, Seung-Ik Lee, Beom-Su Seo
2018	—	`conf`	Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization. ICACT Marcella Astrid, Seung-Ik Lee, Beom-Su Seo
2017	J	`jnl`	CP-decomposition with Tensor Power Method for Convolutional Neural Networks Compression. CoRR Marcella Astrid, Seung-Ik Lee
2017	—	`conf`	CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression. BigComp Marcella Astrid, Seung-Ik Lee
2017	J	`jnl`	Enhanced Flow Table Management Scheme With an LRU-Based Caching Algorithm for SDN. IEEE Access Eun-Do Kim, Yunchul Choi, Seung-Ik Lee, Hyoung Jun Kim
2015	—	`conf`	POI Estimation Method with Incremental Update based on Smartphones. BigDAS Seungwoog Jung, Seung-Ik Lee, Su-Young Chi, Hoon Choi
2015	—	`conf`	Structuring Mobile User Context Based on Spatio-Temporal Information. BigDAS Seung-Ik Lee, Seungwoog Jung, Su-Young Chi
2014	—	`conf`	Flow table management scheme applying an LRU caching algorithm. ICTC Eun-Do Kim, Yunchul Choi, Seung-Ik Lee, Myung-Ki Shin, Hyoung-Jun Kim
2012	J	`jnl`	NGSON: features, state of the art, and realization. IEEE Commun. Mag. Seung-Ik Lee, Shin-Gak Kang
2011	C	`conf`	Context-Aware Service Overlay Network: Concept and Case Study. APSCC Seung-Ik Lee, Jong-Hwa Yi, Shin-Gak Kang
2011	—	`conf`	Network management in collective intelligent robotic environment. URAI Dong-Bum Kim, Chang-Eun Lee, Hyun-Ja Im, Seung-Ik Lee, Young-Jo Cho, Sunghoon Kim
2010	—	`conf`	A nondisruptive multi-path handoff scheme for peer-to-peer live video streaming. ICTC Seung-Ik Lee, Dongman Lee, Yangwoo Ko, Shin-Gak Kang
2009	—	`conf`	A Nondisruptive Adaptation Scheme for Peer-to-Peer Live Video Streaming during Vertical Handoff. CCNC Seung-Ik Lee, Yangwoo Ko, Dongman Lee, Soon J. Hyun
2008	J	`jnl`	Observational emergence in evolutionary fuzzy robotics. Int. J. Model. Identif. Control. Seung-Ik Lee, Sung-Bae Cho
2007	C	`conf`	An Efficient Shared Learning Scheme for Layered Video Streaming over Application Layer Multicast. CIT Jongmin Park, Seung-Ik Lee, Yangwoo Ko, Dongman Lee
2007	B	`conf`	Issues and Implementation of a URC Home Service Robot. RO-MAN Seung-Ik Lee, Choulsoo Jang, Sunghoon Kim, Myungchan Roh, Beom-Su Seo
2007	A*	`conf`	Natural Emotion Expression of a Robot Based on Reinforcer Intensity and Contingency. ICRA Seung-Ik Lee, Gunn-Yong Park, Joong-Bae Kim
2006	C	`conf`	A Neuroscientific Approach to Emotion System for Intelligent Agents. EUC Gunn-Yong Park, Seung-Ik Lee, Joong-Bae Kim
2006	J	`jnl`	A combined group/tree approach for scalable many-to-many reliable multicast. Comput. Commun. Wonyong Yoon, Dongman Lee, Hee Yong Youn, Seung-Ik Lee
2006	A	`conf`	Neurocognitive Affective System for an Emotive Robot. IROS Gunn-Yong Park, Seung-Ik Lee, Woo-Young Kwon, Joong-Bae Kim
2005	—	`conf`	Chromatic Adaptation Model for the Variations of the Luminance. CISST Eun-Su Kim, Sung-Hak Lee, Soo-Wook Jang, Seung-Ik Lee, Chan-Ho Han, Kyu-Ik Sohng
2005	—	`conf`	Lung Detection by Using Geodesic Active Contour Model Based on Characteristics of Lung Parenchyma Region. PCM (1) Chul-Ho Won, Seung-Ik Lee, Dong Hun Kim, Jin-Ho Cho
2005	—	`conf`	The Feature Vector Selection for Robust Multiple Face Detection. Panhellenic Conference on Informatics Seung-Ik Lee, Duk-Gyoo Kim
2003	J	`jnl`	A quantitative analysis of evolvability for an evolutionary fuzzy logic controller. Integr. Comput. Aided Eng. Seung-Ik Lee, Sung-Bae Cho
2002	A*	`conf`	A Combined Group/Tree Approach for Many-to-Many Reliable Multicast. INFOCOM Wonyong Yoon, Dongman Lee, Hee Yong Youn, Seung-Ik Lee, Seok Joo Koh
2002	B	`conf`	Measuring evolvability in evolutionary fuzzy robotics. IEEE Congress on Evolutionary Computation Seung-Ik Lee, Sung-Bae Cho
2001	—	`conf`	An Effective Conversational Agent with User Modeling Based on Bayesian Network. Web Intelligence Seung-Ik Lee, Chul Sung, Sung-Bae Cho
2001	J	`jnl`	Emergent behaviors of a fuzzy sensory-motor controller evolved by genetic algorithm. IEEE Trans. Syst. Man Cybern. Part B Seung-Ik Lee, Sung-Bae Cho
2001	B	`conf`	Observational emergence of a fuzzy controller evolved by genetic algorithm. CEC Seung-Ik Lee, Sung-Bae Cho
1998	J	`jnl`	Mobile robot learning by evolution of fuzzy controller. J. Intell. Fuzzy Syst. Sung-Bae Cho, Seung-Ik Lee
1996	—	`conf`	Hybrid Evolutionary Learning of Fuzzy Logic and Genetic Algorithm. SEAL Sung-Bae Cho, Seung-Ik Lee