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Marcella Astrid
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Cited by
Year
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
2552021
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
2372020
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
1422020
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
992017
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
522020
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
432021
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
422021
Learning Not to Reconstruct Anomalies
M Astrid, MZ Zaheer, JY Lee, SI Lee
The 32nd British Machine Vision Conference, 2021
392021
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
222021
Deep compression of convolutional neural networks with low‐rank approximation
M Astrid, SI Lee
ETRI journal 40 (4), 421-434, 2018
172018
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
132022
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
132015
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
112023
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
102018
Pseudobound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies
M Astrid, MZ Zaheer, SI Lee
Neurocomputing 534, 147-160, 2023
92023
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
92020
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
72018
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
42020
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
32022
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
32021
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