Marcella Astrid
Marcella Astrid
在 ust.ac.kr 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
572020
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
492017
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
242021
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, 358-376, 2020
162020
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
122020
Deep compression of convolutional neural networks with lowrank approximation
M Astrid, SI Lee
ETRI Journal 40 (4), 421-434, 2018
92018
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
92015
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
72021
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
52018
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
52018
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
32020
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
22021
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
22020
Learning Not to Reconstruct Anomalies
M Astrid, MZ Zaheer, JY Lee, SI Lee
arXiv preprint arXiv:2110.09742, 2021
12021
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
12021
Ensemble grid formation to detect potential anomalous regions using context encoders
MZ Zaheer, M Astrid, SI Lee, HC Shin
2018 18th International Conference on Control, Automation and Systems (ICCAS …, 2018
12018
Communication from Smart Storage Container System Using Bluetooth, ZigBee, and XML-RPC
M Astrid, K Karyono
Advanced Science Letters 22 (10), 3037-3042, 2016
12016
Domain-Robust Pedestrian-View Intersection Classification
M Astrid, MZ Zaheer, JY Lee, SI Lee
2021 International Conference on Information and Communication Technology …, 2021
2021
Intra-Batch Features Separation for Indoor and Outdoor Pedestrian-View Intersection Classification
M Astrid, MZ Zaheer, SI Lee
2021 21st International Conference on Control, Automation and Systems (ICCAS …, 2021
2021
A simple and efficient background separation method for stationary camera based videos
MZ Zaheer, M Astrid, SI Lee
대한전자공학회 학술대회, 1679-1681, 2021
2021
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