| Old is gold: Redefining the adversarially learned one-class classifier training paradigm MZ Zaheer, J Lee, M Astrid, SI Lee Conference on Computer Vision and Pattern Recognition (CVPR), 14183-14193, 2020 | 230 | 2020 |
| CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection MZ Zaheer, A Mahmood, M Astrid, SI Lee European Conference on Computer Vision, ECCV 2020, 2020 | 130 | 2020 |
| Generative Cooperative Learning for Unsupervised Video Anomaly Detection MZ Zaheer, A Mahmood, MH Khan, M Segu, F Yu, SI Lee Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022 | 92 | 2022 |
| A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels MZ Zaheer, A Mahmood, H Shin, SI Lee IEEE Signal Processing Letters, 2020 | 83 | 2020 |
| Smoothmix: a simple yet effective data augmentation to train robust classifiers JH Lee, MZ Zaheer, M Astrid, SI Lee Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 756-757, 2020 | 53* | 2020 |
| Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection MZ Zaheer, JH Lee, M Astrid, A Mahmood, SI Lee Conference on Computer Vision and Pattern Recognition Workshops, 2020 | 38 | 2020 |
| Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection M Astrid, MZ Zaheer, SI Lee IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2021, 2021 | 34 | 2021 |
| Learning Not to Reconstruct Anomalies M Astrid, MZ Zaheer, JY Lee, SI Lee British Machine Vision Conference (BMVC) 2021, 2021 | 31 | 2021 |
| An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration MZ Zaheer, A Mahmood, MH Khan, M Astrid, SI Lee IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2021, 2021 | 22 | 2021 |
| A preliminary study on deep-learning based screaming sound detection MZ Zaheer, JY Kim, HG Kim, SY Na 2015 5th International Conference on IT Convergence and Security (ICITCS), 1-4, 2015 | 19 | 2015 |
| Novel iris segmentation and recognition system for human identification MF Zafar, Z Zaheer, J Khurshid Proceedings of 2013 10th International Bhurban Conference on Applied …, 2013 | 19* | 2013 |
| A Brief Survey on Contemporary Methods for Anomaly Detection in Videos MZ Zaheer, JH Lee, SI Lee, BS Seo 2019 International Conference on Information and Communication Technology …, 2019 | 12 | 2019 |
| 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 |
| Improvement in Deep Networks for Optimization Using eXplainable Artificial Intelligence JH Lee, IH Shin, SG Jeong, SI Lee, MZ Zaheer, BS Seo 2019 International Conference on Information and Communication Technology …, 2019 | 6 | 2019 |
| 4G-VOS: Video Object Segmentation using guided context embedding M Fiaz, MZ Zaheer, A Mahmood, SI Lee, SK Jung Knowledge-Based Systems 231, 107401, 2021 | 4 | 2021 |
| 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 |
| Single-branch Network for Multimodal Training MS Saeed, S Nawaz, MH Khan, MZ Zaheer, K Nandakumar, MH Yousaf, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
Seung-Ik LeeElectronics and Telecommunications Research InstituteVerified email at etri.re.kr
