85 citations · 368 across the 40 of their papers we have counts for
8 papers · 1 filter
Training Convolutional Neural Networks With Hebbian Principal Component Analysis
Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi +1
Recent work has shown that biologically plausible Hebbian learning can be integrated with backpropagation learning (backprop), when training deep convolutional neural networks. In…
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection
Fabio Valerio Massoli, Fabrizio Falchi, Alperen Kantarci +3
Anomalies are ubiquitous in all scientific fields and can express an unexpected event due to incomplete knowledge about the data distribution or an unknown process that suddenly co…
Combining GANs and AutoEncoders for Efficient Anomaly Detection
Fabio Carrara, Giuseppe Amato, Luca Brombin +2
In this work, we propose CBiGAN -- a novel method for anomaly detection in images, where a consistency constraint is introduced as a regularization term in both the encoder and dec…
Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders
Nicola Messina, Giuseppe Amato, Andrea Esuli +3
Despite the evolution of deep-learning-based visual-textual processing systems, precise multi-modal matching remains a challenging task. In this work, we tackle the task of cross-m…
The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval
Giuseppe Amato, Paolo Bolettieri, Fabio Carrara +5
In this paper, we describe in details VISIONE, a video search system that allows users to search for videos using textual keywords, occurrence of objects and their spatial relation…
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation
Luca Ciampi, Carlos Santiago, Joao Paulo Costeira +2
Monitoring vehicle flows in cities is crucial to improve the urban environment and quality of life of citizens. Images are the best sensing modality to perceive and assess the flow…
Transformer Reasoning Network for Image-Text Matching and Retrieval
Nicola Messina, Fabrizio Falchi, Andrea Esuli +1
Image-text matching is an interesting and fascinating task in modern AI research. Despite the evolution of deep-learning-based image and text processing systems, multi-modal matchi…
Virtual to Real adaptation of Pedestrian Detectors
Luca Ciampi, Nicola Messina, Fabrizio Falchi +2
Pedestrian detection through Computer Vision is a building block for a multitude of applications. Recently, there was an increasing interest in Convolutional Neural Network-based a…