Marcella Astrid

46 papers A* 2A 2B 1Misc 1Journal 26Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Audio-Visual Deepfake Detection With Local Temporal Inconsistencies. ICASSP Marcella Astrid, Enjie Ghorbel, Djamila Aouada
2025	J	`jnl`	Audio-Visual Deepfake Detection With Local Temporal Inconsistencies. CoRR Marcella Astrid, Enjie Ghorbel, Djamila Aouada
2025	J	`jnl`	Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video Detection. CoRR Dat Nguyen, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada
2025	—	`conf`	Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge. EUSIPCO Marcella Astrid, Abd El Rahman Shabayek, Djamila Aouada
2025	J	`jnl`	Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge. CoRR Marcella Astrid, Abd El Rahman Shabayek, Djamila Aouada
2024	J	`jnl`	Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. IEEE Trans. Neural Networks Learn. Syst. Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2024	J	`jnl`	Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2024	A	`conf`	Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies. BMVC Marcella Astrid, Enjie Ghorbel, Djamila Aouada
2024	J	`jnl`	Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies. CoRR Marcella Astrid, Enjie Ghorbel, Djamila Aouada
2024	J	`jnl`	Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
2024	J	`jnl`	Exploiting autoencoder's weakness to generate pseudo anomalies. Neural Comput. Appl. Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
2024	J	`jnl`	FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection. CoRR Dat Nguyen, Marcella Astrid, Enjie Ghorbel, Djamila Aouada
2024	J	`jnl`	LAA-Net: Localized Artifact Attention Network for High-Quality Deepfakes Detection. CoRR Dat Nguyen, Nesryne Mejri, Inder Pal Singh, Polina Kuleshova, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada
2024	A*	`conf`	LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection. CVPR Dat Nguyen, Nesryne Mejri, Inder Pal Singh, Polina Kuleshova, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada
2024	B	`conf`	Statistics-Aware Audio-Visual Deepfake Detector. ICIP Marcella Astrid, Enjie Ghorbel, Djamila Aouada
2024	J	`jnl`	Statistics-aware Audio-visual Deepfake Detector. CoRR Marcella Astrid, Enjie Ghorbel, Djamila Aouada
2024	—	`conf`	Targeted Augmented Data for Audio Deepfake Detection. EUSIPCO Marcella Astrid, Enjie Ghorbel, Djamila Aouada
2024	J	`jnl`	Targeted Augmented Data for Audio Deepfake Detection. CoRR Marcella Astrid, Enjie Ghorbel, Djamila Aouada
2023	J	`jnl`	PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2023	J	`jnl`	PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. Neurocomputing Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2022	J	`jnl`	Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. CoRR Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2022	—	`conf`	Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies. UR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2022	J	`jnl`	Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. CoRR Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2022	J	`jnl`	Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. IEEE Trans. Image Process. Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2021	—	`conf`	An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. ICCVW Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Marcella Astrid, Seung-Ik Lee
2021	J	`jnl`	Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. CoRR Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Arif Mahmood, Seung-Ik Lee
2021	—	`conf`	Deep Visual Anomaly Detection with Negative Learning. IW-FCV Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2021	J	`jnl`	Deep Visual Anomaly detection with Negative Learning. CoRR Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2021	—	`conf`	Domain-Robust Pedestrian-View Intersection Classification. ICTC Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2021	A	`conf`	Learning Not to Reconstruct Anomalies. BMVC Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2021	J	`jnl`	Learning Not to Reconstruct Anomalies. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2021	—	`conf`	Small Object Detection using Context and Attention. ICAIIC Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee
2021	—	`conf`	Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. ICCVW Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2021	J	`jnl`	Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2020	—	`conf`	CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. ECCV (22) Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2020	J	`jnl`	CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. CoRR Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2020	—	`conf`	For Safer Navigation: Pedestrian-View Intersection Classification. ICTC Marcella Astrid, Jin Ha Lee, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2020	A*	`conf`	Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CVPR Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Seung-Ik Lee
2020	J	`jnl`	Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CoRR Muhammad Zaigham Zaheer, Jin Ha Lee, Marcella Astrid, Seung-Ik Lee
2020	—	`conf`	SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. CVPR Workshops Jin-Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee
2019	J	`jnl`	Small Object Detection using Context and Attention. CoRR Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee
2018	—	`conf`	CNN based Sentence Classification with Semantic Features using Word Clustering. ICTC Hwa-Yeon Kim, Jinsu Lee, Na Young Yeo, Marcella Astrid, Seung-Ik Lee, Young-Kil Kim
2018	J	`jnl`	Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization. CoRR Marcella Astrid, Seung-Ik Lee, Beom-Su Seo
2018	—	`conf`	Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization. ICACT Marcella Astrid, Seung-Ik Lee, Beom-Su Seo
2017	J	`jnl`	CP-decomposition with Tensor Power Method for Convolutional Neural Networks Compression. CoRR Marcella Astrid, Seung-Ik Lee
2017	—	`conf`	CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression. BigComp Marcella Astrid, Seung-Ik Lee