Marcella Astrid

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Variational Bayesian

Weakly Supervised

Classifier Training

Top Venues

Publications

Marcella Astrid, Enjie Ghorbel, Djamila Aouada
Statistics-aware Audio-visual Deepfake Detector. CoRR (2024)
Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies. CoRR (2024)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data. CoRR (2024)
Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
Exploiting autoencoder's weakness to generate pseudo anomalies. Neural Comput. Appl. 36 (23) (2024)
Dat Nguyen, Nesryne Mejri, Inder Pal Singh, Polina Kuleshova, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada
LAA-Net: Localized Artifact Attention Network for High-Quality Deepfakes Detection. CoRR (2024)
Marcella Astrid, Enjie Ghorbel, Djamila Aouada
Targeted Augmented Data for Audio Deepfake Detection. CoRR (2024)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. Neurocomputing 534 (2023)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. CoRR (2023)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies. UR (2022)
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. CoRR (2022)
Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. IEEE Trans. Image Process. 31 (2022)
Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. CoRR (2022)
Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
Learning Not to Reconstruct Anomalies. BMVC (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
Domain-Robust Pedestrian-View Intersection Classification. ICTC (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. ICCVW (2021)
Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Deep Visual Anomaly detection with Negative Learning. CoRR (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. CoRR (2021)
Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee
Small Object Detection using Context and Attention. ICAIIC (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
Learning Not to Reconstruct Anomalies. CoRR (2021)
Muhammad Zaigham Zaheer, Arif Mahmood, M. Haris Khan, Marcella Astrid, Seung-Ik Lee
An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. ICCVW (2021)
Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Deep Visual Anomaly Detection with Negative Learning. IW-FCV (2021)
Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Arif Mahmood, Seung-Ik Lee
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. CoRR (2021)
Marcella Astrid, Jin Ha Lee, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
For Safer Navigation: Pedestrian-View Intersection Classification. ICTC (2020)
Muhammad Zaigham Zaheer, Jin Ha Lee, Marcella Astrid, Seung-Ik Lee
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CoRR (2020)
Jin-Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee
SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. CVPR Workshops (2020)
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. ECCV (22) (2020)
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. CoRR (2020)
Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Seung-Ik Lee
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CVPR (2020)
Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee
Small Object Detection using Context and Attention. CoRR (2019)
Marcella Astrid, Seung-Ik Lee, Beom-Su Seo
Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization. ICACT (2018)
Marcella Astrid, Seung-Ik Lee, Beom-Su Seo
Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization. CoRR (2018)
Hwa-Yeon Kim, Jinsu Lee, Na Young Yeo, Marcella Astrid, Seung-Ik Lee, Young-Kil Kim
CNN based Sentence Classification with Semantic Features using Word Clustering. ICTC (2018)
Marcella Astrid, Seung-Ik Lee
CP-decomposition with Tensor Power Method for Convolutional Neural Networks Compression. CoRR (2017)
Marcella Astrid, Seung-Ik Lee
CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression. BigComp (2017)