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2020 – today
- 2024
[j14]Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
:
Exploiting autoencoder's weakness to generate pseudo anomalies. Neural Comput. Appl. 36(23): 14075-14091 (2024)- [j13]Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee:
Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14085-14098 (2024) - [i16]Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data. CoRR abs/2403.16270 (2024) - [i15]Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee:
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies. CoRR abs/2405.05886 (2024) - 2023
- [j12]Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. Neurocomputing 534: 147-160 (2023) - [j11]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: 109645 (2023) - [i14]Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. CoRR abs/2303.10704 (2023) - 2022
- [j10]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: 5963-5975 (2022) - [c43]Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee:
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CVPR 2022: 14724-14734 - [c42]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: 425-428 - [c41]Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies. UR 2022: 248-251 - [i13]Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee:
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CoRR abs/2203.03962 (2022) - [i12]Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee:
Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. CoRR abs/2203.13704 (2022) - [i11]Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee:
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. CoRR abs/2203.13716 (2022) - 2021
- [j9]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: 107401 (2021) - [c40]Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee:
Learning Not to Reconstruct Anomalies. BMVC 2021: 279 - [c39]Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
Deep Visual Anomaly Detection with Negative Learning. IW-FCV 2021: 218-232 - [c38]Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee:
Small Object Detection using Context and Attention. ICAIIC 2021: 181-186 - [c37]Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. ICCVW 2021: 207-214 - [c36]Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Marcella Astrid, Seung-Ik Lee:
An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. ICCVW 2021: 2595-2601 - [c35]Seungyeol Lee, Young Hoon Cho, Myung-Ki Shin, Jinwuk Seok, Seung-Ik Lee:
TRUMP: Trace Revisitation for User Mobility Prediction. ICTC 2021: 147-149 - [c34]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: 343-347 - [c33]Yoo-Kyung Lee, Dong-Hwan Lee, Jaehun Choi, Jang-Hee Yoo, Seung-Ik Lee:
Does Identity Mapping Really Help in ResNet? ICTC 2021: 1077-1080 - [c32]Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee:
Domain-Robust Pedestrian-View Intersection Classification. ICTC 2021: 1087-1090 - [i10]Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Arif Mahmood, Seung-Ik Lee:
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. CoRR abs/2104.14770 (2021) - [i9]Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
Deep Visual Anomaly detection with Negative Learning. CoRR abs/2105.11058 (2021) - [i8]Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee:
Learning Not to Reconstruct Anomalies. CoRR abs/2110.09742 (2021) - [i7]Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. CoRR abs/2110.09768 (2021) - 2020
- [j8]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: 1705-1709 (2020) - [c31]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: 3264-3274 - [c30]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: 14171-14181 - [c29]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: 358-376 - [c28]Marcella Astrid, Jin Ha Lee, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee:
For Safer Navigation: Pedestrian-View Intersection Classification. ICTC 2020: 7-10 - [c27]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: 1177-1181 - [c26]Yulim Min, Seung-Jin Hong, Hye Jin Kim, Seung-Ik Lee:
Generative Adversarial Network for Robust Regression using Continuous Dataset. ICTC 2020: 1209-1211 - [i6]Muhammad Zaigham Zaheer, Jin Ha Lee, Marcella Astrid, Seung-Ik Lee:
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CoRR abs/2004.07657 (2020) - [i5]Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee:
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. CoRR abs/2008.11887 (2020) - [i4]Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee:
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. CoRR abs/2011.12077 (2020)
2010 – 2019
- 2019
- [c25]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: 472-473 - [c24]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: 525-530 - [i3]Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee:
Small Object Detection using Context and Attention. CoRR abs/1912.06319 (2019) - 2018
- [c23]Marcella Astrid, Seung-Ik Lee, Beom-Su Seo:
Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization. ICACT 2018: 347-350 - [c22]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: 484-488 - [i2]Marcella Astrid, Seung-Ik Lee, Beom-Su Seo:
Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization. CoRR abs/1801.05243 (2018) - 2017
- [j7]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: 25555-25564 (2017) - [c21]Marcella Astrid, Seung-Ik Lee:
CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression. BigComp 2017: 115-118 - [i1]Marcella Astrid, Seung-Ik Lee:
CP-decomposition with Tensor Power Method for Convolutional Neural Networks Compression. CoRR abs/1701.07148 (2017) - 2015
- [c20]Seungwoog Jung, Seung-Ik Lee, Su-Young Chi, Hoon Choi:
POI Estimation Method with Incremental Update based on Smartphones. BigDAS 2015: 104-110 - [c19]Seung-Ik Lee, Seungwoog Jung, Su-Young Chi:
Structuring Mobile User Context Based on Spatio-Temporal Information. BigDAS 2015: 259-263 - 2014
- [c18]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: 335-340 - 2012
- [j6]Seung-Ik Lee, Shin-Gak Kang:
NGSON: features, state of the art, and realization. IEEE Commun. Mag. 50(1): 54-61 (2012) - 2011
- [c17]Seung-Ik Lee, Jong-Hwa Yi, Shin-Gak Kang:
Context-Aware Service Overlay Network: Concept and Case Study. APSCC 2011: 310-315 - [c16]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: 184-187 - 2010
- [c15]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: 509-512
2000 – 2009
- 2009
- [c14]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: 1-2 - 2008
- [j5]Seung-Ik Lee, Sung-Bae Cho:
Observational emergence in evolutionary fuzzy robotics. Int. J. Model. Identif. Control. 3(1): 88-96 (2008) - 2007
- [c13]Jongmin Park, Seung-Ik Lee, Yangwoo Ko, Dongman Lee:
An Efficient Shared Learning Scheme for Layered Video Streaming over Application Layer Multicast. CIT 2007: 417-422 - [c12]Seung-Ik Lee, Gunn-Yong Park, Joong-Bae Kim:
Natural Emotion Expression of a Robot Based on Reinforcer Intensity and Contingency. ICRA 2007: 2144-2149 - [c11]Seung-Ik Lee, Choulsoo Jang, Sunghoon Kim, Myungchan Roh, Beom-Su Seo:
Issues and Implementation of a URC Home Service Robot. RO-MAN 2007: 570-575 - 2006
- [j4]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): 3863-3876 (2006) - [c10]Gunn-Yong Park, Seung-Ik Lee, Joong-Bae Kim:
A Neuroscientific Approach to Emotion System for Intelligent Agents. EUC 2006: 997-1006 - [c9]Gunn-Yong Park, Seung-Ik Lee, Woo-Young Kwon, Joong-Bae Kim:
Neurocognitive Affective System for an Emotive Robot. IROS 2006: 2595-2600 - 2005
- [c8]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: 213-217 - [c7]Seung-Ik Lee, Duk-Gyoo Kim:
The Feature Vector Selection for Robust Multiple Face Detection. Panhellenic Conference on Informatics 2005: 757-764 - [c6]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: 888-898 - 2003
- [j3]Seung-Ik Lee, Sung-Bae Cho:
A quantitative analysis of evolvability for an evolutionary fuzzy logic controller. Integr. Comput. Aided Eng. 10(4): 369-385 (2003) - 2002
- [c5]Seung-Ik Lee, Sung-Bae Cho:
Measuring evolvability in evolutionary fuzzy robotics. IEEE Congress on Evolutionary Computation 2002: 163-168 - [c4]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: 1336-1345 - 2001
- [j2]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): 919-929 (2001) - [c3]Seung-Ik Lee, Sung-Bae Cho:
Observational emergence of a fuzzy controller evolved by genetic algorithm. CEC 2001: 1047-1054 - [c2]Seung-Ik Lee, Chul Sung, Sung-Bae Cho:
An Effective Conversational Agent with User Modeling Based on Bayesian Network. Web Intelligence 2001: 428-432
1990 – 1999
- 1998
- [j1]Sung-Bae Cho, Seung-Ik Lee:
Mobile robot learning by evolution of fuzzy controller. J. Intell. Fuzzy Syst. 6(1): 91-97 (1998) - 1996
- [c1]Sung-Bae Cho, Seung-Ik Lee:
Hybrid Evolutionary Learning of Fuzzy Logic and Genetic Algorithm. SEAL 1996: 206-215
Coauthor Index
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