activity
20092025
most citedCombining EfficientNet and Vision Transformers for Video Deepfake Detection

279 citations · 1.1k across the 55 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.CV2020★ 1 cited

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…

cs.CV2020★ 85 cited

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…

cs.CV2020

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…

cs.CV2020★ 2 cited

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…

cs.CV2020

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…

cs.CL2020★ 187 cited

TweepFake: about Detecting Deepfake Tweets

Tiziano Fagni, Fabrizio Falchi, Margherita Gambini +2

The recent advances in language modeling significantly improved the generative capabilities of deep neural models: in 2019 OpenAI released GPT-2, a pre-trained language model that…

cs.CV2020

Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM

Danilo Sorano, Fabio Carrara, Paolo Cintia +2

Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of data that describe all the spatio-temporal events that occur in each matc…

cs.CV2020

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…

cs.CV2020★ 33 cited

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…