Irene Amerini


Titolo Pubblicato in Anno
Lightweight 3-D Convolutional Occupancy Networks for Virtual Object Reconstruction IEEE COMPUTER GRAPHICS AND APPLICATIONS 2024
D-Fence layer: an ensemble framework for comprehensive deepfake detection MULTIMEDIA TOOLS AND APPLICATIONS 2024
Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2024
A guided-based approach for deepfake detection: RGB-depth integration via features fusion PATTERN RECOGNITION LETTERS 2024
A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2024
CMDD: A novel multimodal two-stream CNN deepfakes detector Proceedings of the 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval co-located with the 46th European Conference on Information Retrieval (ECIR 2024) 2024
Human Versus Machine: A Comparative Analysis in Detecting Artificial Intelligence-Generated Images IEEE SECURITY & PRIVACY 2024
D4D: An RGBD diffusion model to boost monocular depth estimation IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2024
Detecting audio deepfakes: integrating CNN and BiLSTM with multi-feature concatenation IH&MMSec '24: Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security 2024
Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios SENSORS 2023
METER: a mobile vision transformer architecture for monocular depth estimation IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2023
A deep-learning–based antifraud system for car-insurance claims EXPERT SYSTEMS WITH APPLICATIONS 2023
Media Forensics and the Challenge of Big Data (Dagstuhl Seminar 23021) DAGSTUHL REPORTS 2023
Why Don't You Speak?: A Smartphone Application to Engage Museum Visitors Through Deepfakes Creation Proceedings of the 5th Workshop on analySis, Understanding and proMotion of heritAge Contents (SUMAC '23). Association for Computing Machinery, New York, NY, USA 2023
An Automated Ground-to-Aerial Viewpoint Localization for Content Verification 24th International Conference on Digital Signal Processing (DSP), Rhodes (Rodos), Greece, 2023 2023
On the use of Stable Diffusion for creating realistic faces: from generation to detection 11th International Workshop on Biometrics and Forensics (IWBF) 2023
Image Watermarking Backdoor Attacks in CNN-Based Classification Tasks Rousseau, JJ., Kapralos, B. (eds) Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges. 2023
Deepfakes Audio Detection Leveraging Audio Spectrogram and Convolutional Neural Networks Image Analysis and Processing – ICIAP 2023: 22nd International Conference, ICIAP 2023, Udine, Italy, September 11–15, 2023, Proceedings, Part II 2023
BHAC-MRI: Backdoor and Hybrid Attacks on MRI Brain Tumor Classification Using CNN Foresti, G.L., Fusiello, A., Hancock, E. (eds) Image Analysis and Processing – ICIAP 2023. ICIAP 2023. Lecture Notes in Computer Science, vol 14234. Springer, Cham. 2023


  • PE6_8
  • PE6_11
  • PE7_7


  • Big data & computing

Interessi di ricerca

  • Machine learning and deep learning for computer vision and pattern recognition

  • Multimedia forensics and deepfake analysis

  • Digital image and video processing


Computer Science - Computer Vision and Pattern Recognition
multimedia forensics
Deep Learning Image Processing
Digital image processing

Gruppi di ricerca

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