Alberto Del Bimbo

research

∙ 09/21/2023

Exploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval

Given the recent advances in multimodal image pretraining where visual m...

0 Alberto Baldrati, et al. ∙

research

∙ 09/07/2023

DiffDefense: Defending against Adversarial Attacks via Diffusion Models

This paper presents a novel reconstruction method that leverages Diffusi...

0 Hondamunige Prasanna Silva, et al. ∙

research

∙ 08/24/2023

Robot Pose Nowcasting: Forecast the Future to Improve the Present

In recent years, the effective and safe collaboration between humans and...

0 Alessandro Simoni, et al. ∙

research

∙ 08/22/2023

Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features

Given a query composed of a reference image and a relative caption, the ...

0 Alberto Baldrati, et al. ∙

research

∙ 08/14/2023

Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage

Cultural heritage applications and advanced machine learning models are ...

0 Dario Cioni, et al. ∙

research

∙ 07/26/2023

ECO: Ensembling Context Optimization for Vision-Language Models

Image recognition has recently witnessed a paradigm shift, where vision-...

0 Lorenzo Agnolucci, et al. ∙

research

∙ 06/01/2023

4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks

Time varying sequences of 3D point clouds, or 4D point clouds, are now b...

0 Lorenzo Berlincioni, et al. ∙

research

∙ 04/17/2023

Transformer-based Graph Neural Networks for Outfit Generation

Suggesting complementary clothing items to compose an outfit is a proces...

0 Federico Becattini, et al. ∙

research

∙ 04/13/2023

Neuromorphic Event-based Facial Expression Recognition

Recently, event cameras have shown large applicability in several comput...

0 Lorenzo Berlincioni, et al. ∙

research

∙ 04/02/2023

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images

Recent advancements in diffusion models have enabled the generation of r...

0 Roberto Amoroso, et al. ∙

research

∙ 03/27/2023

Zero-Shot Composed Image Retrieval with Textual Inversion

Composed Image Retrieval (CIR) aims to retrieve a target image based on ...

0 Alberto Baldrati, et al. ∙

research

∙ 01/15/2023

Maximally Compact and Separated Features with Regular Polytope Networks

Convolutional Neural Networks (CNNs) trained with the Softmax loss are w...

0 Federico Pernici, et al. ∙

research

∙ 11/16/2022

CL2R: Compatible Lifelong Learning Representations

In this paper, we propose a method to partially mimic natural intelligen...

0 Niccolo Biondi, et al. ∙

research

∙ 11/15/2022

Forecasting Future Instance Segmentation with Learned Optical Flow and Warping

For an autonomous vehicle it is essential to observe the ongoing dynamic...

0 Andrea Ciamarra, et al. ∙

research

∙ 11/08/2022

Learning advisor networks for noisy image classification

In this paper, we introduced the novel concept of advisor network to add...

0 Simone Ricci, et al. ∙

research

∙ 09/05/2022

Automatic Estimation of Self-Reported Pain by Trajectory Analysis in the Manifold of Fixed Rank Positive Semi-Definite Matrices

We propose an automatic method to estimate self-reported pain based on f...

0 Benjamin Szczapa, et al. ∙

research

∙ 08/01/2022

Fashion Recommendation Based on Style and Social Events

Fashion recommendation is often declined as the task of finding compleme...

10 Federico Becattini, et al. ∙

research

∙ 07/29/2022

Generating Complex 4D Expression Transitions by Learning Face Landmark Trajectories

In this work, we address the problem of 4D facial expressions generation...

3 Naima Otberdout, et al. ∙

research

∙ 07/25/2022

Is GPT-3 all you need for Visual Question Answering in Cultural Heritage?

The use of Deep Learning and Computer Vision in the Cultural Heritage do...

0 Pietro Bongini, et al. ∙

research

∙ 06/23/2022

What makes you, you? Analyzing Recognition by Swapping Face Parts

Deep learning advanced face recognition to an unprecedented accuracy. Ho...

10 Claudio Ferrari, et al. ∙

research

∙ 06/07/2022

Online Deep Clustering with Video Track Consistency

Several unsupervised and self-supervised approaches have been developed ...

0 Alessandra Alfani, et al. ∙

research

∙ 05/11/2022

Contrastive Supervised Distillation for Continual Representation Learning

In this paper, we propose a novel training procedure for the continual r...

13 Tommaso Barletti, et al. ∙

research

∙ 03/23/2022

SMEMO: Social Memory for Trajectory Forecasting

Effective modeling of human interactions is of utmost importance when fo...

0 Francesco Marchetti, et al. ∙

research

∙ 02/25/2022

On Modality Bias Recognition and Reduction

Making each modality in multi-modal data contribute is of vital importan...

0 Yangyang Guo, et al. ∙

research

∙ 11/15/2021

CoReS: Compatible Representations via Stationarity

In this paper, we propose a novel method to learn internal feature repre...

2 Niccolo Biondi, et al. ∙

research

∙ 10/12/2021

Fine-Grained Adversarial Semi-supervised Learning

In this paper we exploit Semi-Supervised Learning (SSL) to increase the ...

14 Daniele Mugnai, et al. ∙

research

∙ 06/25/2021

Partially fake it till you make it: mixing real and fake thermal images for improved object detection

In this paper we propose a novel data augmentation approach for visual c...

0 Francesco Bongini, et al. ∙

research

∙ 05/16/2021

3D to 4D Facial Expressions Generation Guided by Landmarks

While deep learning-based 3D face generation has made a progress recentl...

11 Naima Otberdout, et al. ∙

research

∙ 05/14/2021

Learning Group Activities from Skeletons without Individual Action Labels

To understand human behavior we must not just recognize individual actio...

0 Fabio Zappardino, et al. ∙

research

∙ 05/05/2021

AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss

A number of studies point out that current Visual Question Answering (VQ...

0 Yangyang Guo, et al. ∙

research

∙ 03/29/2021

Regular Polytope Networks

Neural networks are widely used as a model for classification in a large...

9 Federico Pernici, et al. ∙

research

∙ 02/03/2021

Robust pedestrian detection in thermal imagery using synthesized images

In this paper we propose a method for improving pedestrian detection in ...

2 My Kieu, et al. ∙

research

∙ 12/11/2020

Garment Recommendation with Memory Augmented Neural Networks

Fashion plays a pivotal role in society. Combining garments appropriatel...

0 Lavinia De Divitiis, et al. ∙

research

∙ 10/18/2020

Multiple Future Prediction Leveraging Synthetic Trajectories

Trajectory prediction is an important task, especially in autonomous dri...

0 Lorenzo Berlincioni, et al. ∙

research

∙ 10/18/2020

Temporal Binary Representation for Event-Based Action Recognition

In this paper we present an event aggregation strategy to convert the ou...

4 Simone Undri Innocenti, et al. ∙

research

∙ 10/16/2020

Class-incremental Learning with Pre-allocated Fixed Classifiers

In class-incremental learning, a learning agent faces a stream of data w...

13 Federico Pernici, et al. ∙

research

∙ 08/27/2020

Inner Eye Canthus Localization for Human Body Temperature Screening

In this paper, we propose an automatic approach for localizing the inner...

9 Claudio Ferrari, et al. ∙

research

∙ 06/24/2020

Modelling the Statistics of Cyclic Activities by Trajectory Analysis on the Manifold of Positive-Semi-Definite Matrices

In this paper, a model is presented to extract statistical summaries to ...

0 Ettore Maria Celozzi, et al. ∙

research

∙ 06/24/2020

Automatic Estimation of Self-Reported Pain by Interpretable Representations of Motion Dynamics

We propose an automatic method for pain intensity measurement from video...

0 Benjamin Szczapa, et al. ∙

research

∙ 06/06/2020

A Sparse and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces

The 3D Morphable Model (3DMM) is a powerful statistical tool for represe...

8 Claudio Ferrari, et al. ∙

research

∙ 06/05/2020

Explaining Autonomous Driving by Learning End-to-End Visual Attention

Current deep learning based autonomous driving approaches yield impressi...

60 Luca Cultrera, et al. ∙

research

∙ 06/05/2020

MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction

Autonomous vehicles are expected to drive in complex scenarios with seve...

6 Francesco Marchetti, et al. ∙

research

∙ 04/21/2020

Image Retrieval using Multi-scale CNN Features Pooling

In this paper, we address the problem of image retrieval by learning ima...

10 Federico Vaccaro, et al. ∙

research

∙ 03/22/2020

Visual Question Answering for Cultural Heritage

Technology and the fruition of cultural heritage are becoming increasing...

7 Pietro Bongini, et al. ∙

research

∙ 10/09/2019

Text-to-Image Synthesis Based on Machine Generated Captions

Text to Image Synthesis refers to the process of automatic generation of...

6 Marco Menardi, et al. ∙

research

∙ 08/01/2019

Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition

In this paper, we tackle the problem of action recognition using body sk...

1 Benjamin Szczapa, et al. ∙

research

∙ 02/27/2019

Fix Your Features: Stationary and Maximally Discriminative Embeddings using Regular Polytope (Fixed Classifier) Networks

Neural networks are widely used as a model for classification in a large...

26 Federico Pernici, et al. ∙

research

∙ 02/11/2019

Additional Baseline Metrics for the paper "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification"

In this report, we provide additional and corrected results for the pape...

4 Claudio Ferrari, et al. ∙

research

∙ 05/29/2018

Semantic Road Layout Understanding by Generative Adversarial Inpainting

Autonomous driving is becoming a reality, yet vehicles still need to rel...

0 Federico Becattini, et al. ∙

research

∙ 11/17/2017

Memory Based Online Learning of Deep Representations from Video Streams

We present a novel online unsupervised method for face identity learning...

0 Federico Pernici, et al. ∙

Alberto Del Bimbo

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