CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression. - Marcella Astrid; Seung-Ik Lee (BigComp, 2017)

Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization. - Marcella Astrid; Seung-Ik Lee; Beom-Su Seo (ICACT, 2018)

CNN based Sentence Classification with Semantic Features using Word Clustering. - Hwa-Yeon Kim; Jinsu Lee; Na Young Yeo; Marcella Astrid; Seung-Ik Lee; Young-Kil Kim (ICTC, 2018)

SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. - Jin-Ha Lee 002; Muhammad Zaigham Zaheer; Marcella Astrid; Seung-Ik Lee (CVPR Workshops, 2020)

Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. - Muhammad Zaigham Zaheer; Jin-Ha Lee 002; Marcella Astrid; Seung-Ik Lee (CVPR, 2020)

CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. - Muhammad Zaigham Zaheer; Arif Mahmood; Marcella Astrid; Seung-Ik Lee (ECCV (22), 2020)

For Safer Navigation: Pedestrian-View Intersection Classification. - Marcella Astrid; Jin Ha Lee 002; Muhammad Zaigham Zaheer; Jae-Yeong Lee; Seung-Ik Lee (ICTC, 2020)

Learning Not to Reconstruct Anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Jae-Yeong Lee; Seung-Ik Lee (BMVC, 2021)

Deep Visual Anomaly Detection with Negative Learning. - Jin Ha Lee 002; Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (IW-FCV, 2021)

Small Object Detection using Context and Attention. - Jeong-Seon Lim; Marcella Astrid; Hyun-Jin Yoon; Seung-Ik Lee (ICAIIC, 2021)

Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (ICCVW, 2021)

An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. - Muhammad Zaigham Zaheer; Arif Mahmood; Muhammad Haris Khan; Marcella Astrid; Seung-Ik Lee (ICCVW, 2021)

Domain-Robust Pedestrian-View Intersection Classification. - Marcella Astrid; Muhammad Zaigham Zaheer; Jae-Yeong Lee; Seung-Ik Lee (ICTC, 2021)

Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. - Muhammad Zaigham Zaheer; Jin-Ha Lee 002; Marcella Astrid; Arif Mahmood; Seung-Ik Lee (CoRR, 2021)

Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (UR, 2022)

Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. - Muhammad Zaigham Zaheer; Jin Ha Lee 002; Arif Mahmood; Marcella Astrid; Seung-Ik Lee (IEEE Trans. Image Process., 2022)

PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (Neurocomputing, 2023)

Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies. - Marcella Astrid; Enjie Ghorbel; Djamila Aouada (BMVC, 2024)

LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection. - Dat Nguyen; Nesryne Mejri; Inder Pal Singh; Polina Kuleshova; Marcella Astrid; Anis Kacem 001; Enjie Ghorbel; Djamila Aouada (CVPR, 2024)

Targeted Augmented Data for Audio Deepfake Detection. - Marcella Astrid; Enjie Ghorbel; Djamila Aouada (EUSIPCO, 2024)

Statistics-Aware Audio-Visual Deepfake Detector. - Marcella Astrid; Enjie Ghorbel; Djamila Aouada (ICIP, 2024)

LAA-Net: Localized Artifact Attention Network for High-Quality Deepfakes Detection. - Dat Nguyen; Nesryne Mejri; Inder Pal Singh; Polina Kuleshova; Marcella Astrid; Anis Kacem 001; Enjie Ghorbel; Djamila Aouada (CoRR, 2024)

Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (CoRR, 2024)

FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection. - Dat Nguyen; Marcella Astrid; Enjie Ghorbel; Djamila Aouada (CoRR, 2024)

Exploiting autoencoder's weakness to generate pseudo anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Djamila Aouada; Seung-Ik Lee (Neural Comput. Appl., 2024)

Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. - Muhammad Zaigham Zaheer; Arif Mahmood; Marcella Astrid; Seung-Ik Lee (IEEE Trans. Neural Networks Learn. Syst., 2024)

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies. - Marcella Astrid; Enjie Ghorbel; Djamila Aouada (ICASSP, 2025)

Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video Detection. - Dat Nguyen; Marcella Astrid; Anis Kacem 001; Enjie Ghorbel; Djamila Aouada (CoRR, 2025)

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge. - Marcella Astrid; Abd El Rahman Shabayek; Djamila Aouada (CoRR, 2025)