| Old is gold: Redefining the adversarially learned one-class classifier training paradigm MZ Zaheer, J Lee, M Astrid, SI Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 230 | 2020 |
| 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 | 228 | 2021 |
| Claws: Clustering assisted weakly supervised learning with normalcy suppression for anomalous event detection MZ Zaheer, A Mahmood, M Astrid, SI Lee Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 130 | 2020 |
| 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 | 98 | 2017 |
| Smoothmix: a simple yet effective data augmentation to train robust classifiers JH Lee, MZ Zaheer, M Astrid, SI Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 48 | 2020 |
| 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 | 38 | 2021 |
| 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 | 34 | 2021 |
| Learning Not to Reconstruct Anomalies M Astrid, MZ Zaheer, JY Lee, SI Lee The 32nd British Machine Vision Conference, 2021 | 31 | 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 | 22 | 2021 |
| Deep compression of convolutional neural networks with low‐rank approximation M Astrid, SI Lee ETRI journal 40 (4), 421-434, 2018 | 17 | 2018 |
| Design and implementation of data storage system using USB flash drive in a microcontroller based data logger O Mahendra, D Syamsi, A Ramdan, M Astrid 2015 International Conference on Automation, Cognitive Science, Optics …, 2015 | 13 | 2015 |
| Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization M Astrid, SI Lee, BS Seo 2018 20th International Conference on Advanced Communication Technology …, 2018 | 10 | 2018 |
| Stabilizing adversarially learned one-class novelty detection using pseudo anomalies MZ Zaheer, JH Lee, A Mahmood, M Astrid, SI Lee IEEE Transactions on Image Processing 31, 5963-5975, 2022 | 9 | 2022 |
| For safer navigation: Pedestrian-view intersection classification M Astrid, JH Lee, MZ Zaheer, JY Lee, SI Lee 2020 International Conference on Information and Communication Technology …, 2020 | 9 | 2020 |
| 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 | 7 | 2023 |
| Pseudobound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies M Astrid, MZ Zaheer, SI Lee Neurocomputing 534, 147-160, 2023 | 7 | 2023 |
| CNN based sentence classification with semantic features using word clustering HY Kim, J Lee, NY Yeo, M Astrid, SI Lee, YK Kim 2018 International Conference on Information and Communication Technology …, 2018 | 6 | 2018 |
| What do pedestrians see?: Visualizing pedestrian-view intersection classification M Astrid, MZ Zaheer, JH Lee, JY Lee, SI Lee 2020 20th International Conference on Control, Automation and Systems (ICCAS …, 2020 | 4 | 2020 |
| Deep visual anomaly detection with negative learning JH Lee, M Astrid, MZ Zaheer, SI Lee Frontiers of Computer Vision: 27th International Workshop, IW-FCV 2021 …, 2021 | 3 | 2021 |
| Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies M Astrid, MZ Zaheer, SI Lee 2022 19th International Conference on Ubiquitous Robots (UR), 248-251, 2022 | 2 | 2022 |
