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Fabrizio Falchi

Research Director

Consiglio Nazionale delle Ricerche

Italy

Research Interests

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Professors in Italy Professors in Medical Imaging Medical Imaging professors in Italy

Articles (20)

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Collaborators (5)

Giuseppe Amato

Director of Research

Consiglio Nazionale delle Ricerche

ITALY

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Jan Sedmidubsky

Masaryk University

CZECH REPUBLIC

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Luca Ciampi

Researcher

Istituto di scienza e tecnologie dell'informazione Alessandro Faedo

ITALY

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Paolo Bolettieri

Istituto di scienza e tecnologie dell'informazione Alessandro Faedo

ITALY

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Tomáš Rebok

senior researcher

Masaryk University

CZECH REPUBLIC

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Fabrizio Falchi

Research Interests

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Articles (20)

Biologically-inspired semi-supervised semantic segmentation for biomedical imaging

VISIONE: Redesigning an Interactive Retrieval System for Lifelog Search

Synthetic frequency patterns injection for data-agnostic deepfake detection

A survey on class-agnostic counting: Advancements from reference-based to open-world text-guided approaches

CountingDINO. A training-free pipeline for class-agnostic counting using unsupervised backbones

JoinPap: Learning-Based Matching for the Reconstruction of Fragmentary Papyri

Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval

Animal behavior analysis methods using deep learning: A survey

ARTEMIS: animal recognition through enhanced multimodal integration system

Breaking the 2D dependency: what limits 3D-only open-vocabulary scene understanding

Is CLIP the main roadblock for fine-grained open-world perception?

Mind the prompt: a novel benchmark for prompt-based class-agnostic counting

ReCoptic: computer vision for the reconstruction of dismembered coptic codices

Real-time behavior recognition using a legged robot for animal-robot interaction

Talking to DINO: bridging self-supervised vision backbones with language for open-vocabulary segmentation

The Game Boy learning environment

A Biologically-Inspired Approach to Biomedical Image Segmentation

Adversarial Magnification to Deceive Deepfake Detection Through Super Resolution

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge

Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection

Collaborators (5)

Giuseppe Amato

Jan Sedmidubsky

Luca Ciampi

Paolo Bolettieri

Tomáš Rebok

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