Marcella Cornia

verfied profile

∙

PhD Student at Unimore. Interested in Deep Learning, Computer Vision and Language.

Featured Co-authors

Rita Cucchiara
57 publications
Lorenzo Baraldi
26 publications
Giuseppe Serra
11 publications
Federico Landi
7 publications
Silvia Cascianelli
5 publications
Stefano Pini
5 publications
Matteo Stefanini
5 publications
Giuseppe Fiameni
3 publications
Matteo Tomei
3 publications
Roberto Bigazzi
3 publications
Massimiliano Corsini
3 publications

∙ 11/24/2021

Universal Captioner: Long-Tail Vision-and-Language Model Training through Content-Style Separation

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

Marcella Cornia, et al. ∙

∙ 09/14/2021

Focus on Impact: Indoor Exploration with Intrinsic Motivation

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

Roberto Bigazzi, et al. ∙

∙ 08/31/2021

Working Memory Connections for LSTM

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

Federico Landi, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙