Marcella Cornia

DeepAI

Featured Co-authors

Rita Cucchiara
71 publications
Lorenzo Baraldi
34 publications
Fabrizio Falchi
34 publications
Giuseppe Amato
30 publications
Giuseppe Serra
20 publications
Nicola Messina
11 publications
Silvia Cascianelli
11 publications
Federico Landi
10 publications
Giuseppe Fiameni
9 publications
Stefano Pini
8 publications
Christopher Kermorvant
7 publications

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...

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...

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...

Silvia Cascianelli, 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 ...

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...

Sara Sarto, et al. ∙

research

∙ 04/19/2022

Embodied Navigation at the Art Gallery

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

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...

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 ...

Federico Landi, et al. ∙

research

∙ 02/21/2022

CaMEL: Mean Teacher Learning for Image Captioning

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

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...

Marcella Cornia, et al. ∙

research

∙ 09/14/2021

Focus on Impact: Indoor Exploration with Intrinsic Motivation

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

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...

Federico Landi, 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...

Matteo Stefanini, 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...

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 ...

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...

Samuele Poppi, 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...

Roberto Bigazzi, 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...

Matteo Stefanini, 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...

Marcella Cornia, et al. ∙

research

∙ 11/27/2019

Perceive, Transform, and Act: Multi-Modal Attention Networks for Vision-and-Language Navigation

Vision-and-Language Navigation (VLN) is a challenging task in which an a...

Federico Landi, et al. ∙

research

∙ 10/07/2019

SMArT: Training Shallow Memory-aware Transformers for Robotic Explainability

The ability to generate natural language explanations conditioned on the...

Marcella Cornia, et al. ∙

research

∙ 03/04/2019

M-VAD Names: a Dataset for Video Captioning with Naming

Current movie captioning architectures are not capable of mentioning cha...

Stefano Pini, et al. ∙

research

∙ 11/26/2018

Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation

The applicability of computer vision to real paintings and artworks has ...

Matteo Tomei, et al. ∙

research

∙ 11/26/2018

Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions

Current captioning approaches can describe images using black-box archit...

Marcella Cornia, et al. ∙

research

∙ 06/26/2017

Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention

Image captioning has been recently gaining a lot of attention thanks to ...

Marcella Cornia, et al. ∙

research

∙ 11/29/2016

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model

Data-driven saliency has recently gained a lot of attention thanks to th...

Marcella Cornia, et al. ∙

research

∙ 09/05/2016

A Deep Multi-Level Network for Saliency Prediction

This paper presents a novel deep architecture for saliency prediction. C...

Marcella Cornia, et al. ∙