Rita Cucchiara

research

∙ 09/11/2023

OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data

The inexorable growth of online shopping and e-commerce demands scalable...

0 Giuseppe Cartella, et al. ∙

research

∙ 08/23/2023

With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning

Image captioning, like many tasks involving vision and language, current...

0 Manuele Barraco, et al. ∙

research

∙ 08/22/2023

TrackFlow: Multi-Object Tracking with Normalizing Flows

The field of multi-object tracking has recently seen a renewed interest ...

0 Gianluca Mancusi, et al. ∙

research

∙ 08/09/2023

Volumetric Fast Fourier Convolution for Detecting Ink on the Carbonized Herculaneum Papyri

Recent advancements in Digital Document Restoration (DDR) have led to si...

0 Fabio Quattrini, et al. ∙

research

∙ 07/24/2023

CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components

Neural Radiance Fields (NeRFs) have gained widespread recognition as a h...

0 Davide Di Nucci, et al. ∙

research

∙ 07/18/2023

Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation

Research in Image Generation has recently made significant progress, par...

0 Federico Betti, et al. ∙

research

∙ 06/12/2023

Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training

The use of self-supervised pre-training has emerged as a promising appro...

0 Lorenzo Baraldi, et al. ∙

research

∙ 05/22/2023

LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On

The rapidly evolving fields of e-commerce and metaverse continue to seek...

0 Davide Morelli, et al. ∙

research

∙ 05/04/2023

How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning

Recent advancements in Deep Learning-based Handwritten Text Recognition ...

0 Vittorio Pippi, et al. ∙

research

∙ 04/04/2023

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing

Fashion illustration is used by designers to communicate their vision an...

0 Alberto Baldrati, et al. ∙

research

∙ 04/04/2023

Multi-Class Explainable Unlearning for Image Classification via Weight Filtering

Machine Unlearning has recently been emerging as a paradigm for selectiv...

0 Samuele Poppi, et al. ∙

research

∙ 04/04/2023

Evaluating Synthetic Pre-Training for Handwriting Processing Tasks

In this work, we explore massive pre-training on synthetic word images f...

0 Vittorio Pippi, 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

Handwritten Text Generation from Visual Archetypes

Generating synthetic images of handwritten text in a writer-specific sty...

0 Vittorio Pippi, et al. ∙

research

∙ 03/21/2023

Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation

The CLIP model has been recently proven to be very effective for a varie...

0 Sara Sarto, et al. ∙

research

∙ 02/13/2023

One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data

There is a recent growing interest in applying Deep Learning techniques ...

0 Simone Luetto, et al. ∙

research

∙ 01/27/2023

Input Perturbation Reduces Exposure Bias in Diffusion Models

Denoising Diffusion Probabilistic Models have shown an impressive genera...

0 Mang Ning, et al. ∙

research

∙ 01/17/2023

Embodied Agents for Efficient Exploration and Smart Scene Description

The development of embodied agents that can communicate with humans in n...

0 Roberto Bigazzi, et al. ∙

research

∙ 08/17/2022

Boosting Modern and Historical Handwritten Text Recognition with Deformable Convolutions

Handwritten Text Recognition (HTR) in free-layout pages is a challenging...

0 Silvia Cascianelli, et al. ∙

research

∙ 08/16/2022

The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition

Handwritten Text Recognition (HTR) is an open problem at the intersectio...

22 Silvia Cascianelli, et al. ∙

research

∙ 08/10/2022

Consistency-based Self-supervised Learning for Temporal Anomaly Localization

This work tackles Weakly Supervised Anomaly detection, in which a predic...

0 Aniello Panariello, et al. ∙

research

∙ 07/29/2022

ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval

Image-text matching is gaining a leading role among tasks involving the ...

7 Nicola Messina, et al. ∙

research

∙ 07/26/2022

Retrieval-Augmented Transformer for Image Captioning

Image captioning models aim at connecting Vision and Language by providi...

7 Sara Sarto, et al. ∙

research

∙ 06/17/2022

Maximum Class Separation as Inductive Bias in One Matrix

Maximizing the separation between classes constitutes a well-known induc...

11 Tejaswi Kasarla, et al. ∙

research

∙ 04/25/2022

Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction

Human trajectory forecasting is a key component of autonomous vehicles, ...

15 Luigi Filippo Chiara, et al. ∙

research

∙ 04/19/2022

Embodied Navigation at the Art Gallery

Embodied agents, trained to explore and navigate indoor photorealistic e...

0 Roberto Bigazzi, et al. ∙

research

∙ 04/18/2022

Dress Code: High-Resolution Multi-Category Virtual Try-On

Image-based virtual try-on strives to transfer the appearance of a cloth...

6 Davide Morelli, et al. ∙

research

∙ 04/18/2022

Spot the Difference: A Novel Task for Embodied Agents in Changing Environments

Embodied AI is a recent research area that aims at creating intelligent ...

0 Federico Landi, et al. ∙

research

∙ 03/09/2022

How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting

Accurate prediction of future human positions is an essential task for m...

13 Alessio Monti, et al. ∙

research

∙ 02/21/2022

CaMEL: Mean Teacher Learning for Image Captioning

Describing images in natural language is a fundamental step towards the ...

9 Manuele Barraco, et al. ∙

research

∙ 11/24/2021

Universal Captioner: Inducing Content-Style Separation in Vision-and-Language Model Training

While captioning models have obtained compelling results in describing n...

1 Marcella Cornia, et al. ∙

research

∙ 10/21/2021

Multi-Category Mesh Reconstruction From Image Collections

Recently, learning frameworks have shown the capability of inferring the...

0 Alessandro Simoni, et al. ∙

research

∙ 09/14/2021

Focus on Impact: Indoor Exploration with Intrinsic Motivation

Exploration of indoor environments has recently experienced a significan...

0 Roberto Bigazzi, et al. ∙

research

∙ 08/31/2021

Working Memory Connections for LSTM

Recurrent Neural Networks with Long Short-Term Memory (LSTM) make use of...

0 Federico Landi, et al. ∙

research

∙ 08/21/2021

MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?

Deep learning-based methods for video pedestrian detection and tracking ...

3 Matteo Fabbri, et al. ∙

research

∙ 07/14/2021

From Show to Tell: A Survey on Image Captioning

Connecting Vision and Language plays an essential role in Generative Int...

18 Matteo Stefanini, et al. ∙

research

∙ 06/21/2021

SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild

Gesture recognition is a fundamental tool to enable novel interaction pa...

0 Ariel Caputo, et al. ∙

research

∙ 06/02/2021

Learning to Select: A Fully Attentive Approach for Novel Object Captioning

Image captioning models have lately shown impressive results when applie...

42 Marco Cagrandi, et al. ∙

research

∙ 05/12/2021

Out of the Box: Embodied Navigation in the Real World

The research field of Embodied AI has witnessed substantial progress in ...

0 Roberto Bigazzi, et al. ∙

research

∙ 04/20/2021

Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis

As the request for deep learning solutions increases, the need for expla...

0 Samuele Poppi, et al. ∙

research

∙ 02/15/2021

RMS-Net: Regression and Masking for Soccer Event Spotting

The recently proposed action spotting task consists in finding the exact...

0 Matteo Tomei, et al. ∙

research

∙ 07/20/2020

Inter-Homines: Distance-Based Risk Estimation for Human Safety

In this document, we report our proposal for modeling the risk of possib...

6 Matteo Fabbri, et al. ∙

research

∙ 07/14/2020

Explore and Explain: Self-supervised Navigation and Recounting

Embodied AI has been recently gaining attention as it aims to foster the...

5 Roberto Bigazzi, et al. ∙

research

∙ 07/01/2020

Future Urban Scenes Generation Through Vehicles Synthesis

In this work we propose a deep learning pipeline to predict the visual f...

6 Alessandro Simoni, et al. ∙

research

∙ 05/26/2020

DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting

Understanding human motion behaviour is a critical task for several poss...

44 Alessio Monti, et al. ∙

research

∙ 05/17/2020

AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction

Anticipating human motion in crowded scenarios is essential for developi...

5 Alessia Bertugli, et al. ∙

research

∙ 04/27/2020

A Novel Attention-based Aggregation Function to Combine Vision and Language

The joint understanding of vision and language has been recently gaining...

9 Matteo Stefanini, et al. ∙

research

∙ 04/01/2020

Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation

In this paper we present a novel approach for bottom-up multi-person 3D ...

4 Matteo Fabbri, et al. ∙

research

∙ 03/31/2020

Conditional Channel Gated Networks for Task-Aware Continual Learning

Convolutional Neural Networks experience catastrophic forgetting when op...

10 Davide Abati, et al. ∙

research

∙ 12/17/2019

M^2: Meshed-Memory Transformer for Image Captioning

Transformer-based architectures represent the state of the art in sequen...

10 Marcella Cornia, et al. ∙

Rita Cucchiara

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