| 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 | 325 | 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 | 283 | 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 | 181 | 2022 |
| 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 | 175 | 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 | 168 | 2010 |
| 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 | 114 | 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 | 109 | 2020 |
| 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 | 68 | 2020 |
| 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 | 66 | 2021 |
| 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 | 62 | 2001 |
| Learning not to reconstruct anomalies M Astrid, MZ Zaheer, JY Lee, SI Lee arXiv preprint arXiv:2110.09742, 2021 | 57 | 2021 |
| 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 | 47 | 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 | 25 | 2021 |
| 로봇 소프트웨어 아키텍처의 연구동향과 현황 이승익， 장철수， 정승욱， 김중배 전자통신동향분석 2005 (4), 1-13, 2005 | 22 | 2005 |
| Clustering aided weakly supervised training to detect anomalous events in surveillance videos MZ Zaheer, A Mahmood, M Astrid, SI Lee IEEE Transactions on Neural Networks and Learning Systems, 2023 | 21 | 2023 |
| 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 | 20 | 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 | 20 | 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 | 20 | 2001 |
| Deep compression of convolutional neural networks with low‐rank approximation M Astrid, SI Lee ETRI journal 40 (4), 421-434, 2018 | 19 | 2018 |
| Robot for generating multiple emotions and method of generating multiple emotions in robot SI Lee, GY Park US Patent 7,778,730, 2010 | 19 | 2010 |
Marcella AstridUniversity of LuxembourgVerified email at uni.lu