478 citations · 905 across the 72 of their papers we have counts for
8 papers · 1 filter
Retrieval-Augmented Transformer for Image Captioning
Sara Sarto, Marcella Cornia, Lorenzo Baraldi +1
Image captioning models aim at connecting Vision and Language by providing natural language descriptions of input images. In the past few years, the task has been tackled by learni…
Boosting Modern and Historical Handwritten Text Recognition with Deformable Convolutions
Silvia Cascianelli, Marcella Cornia, Lorenzo Baraldi +1
Handwritten Text Recognition (HTR) in free-layout pages is a challenging image understanding task that can provide a relevant boost to the digitization of handwritten documents and…
The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition
Silvia Cascianelli, Vittorio Pippi, Martin Maarand +4
Handwritten Text Recognition (HTR) is an open problem at the intersection of Computer Vision and Natural Language Processing. The main challenges, when dealing with historical manu…
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval
Nicola Messina, Matteo Stefanini, Marcella Cornia +4
Image-text matching is gaining a leading role among tasks involving the joint understanding of vision and language. In literature, this task is often used as a pre-training objecti…
Embodied Navigation at the Art Gallery
Roberto Bigazzi, Federico Landi, Silvia Cascianelli +3
Embodied agents, trained to explore and navigate indoor photorealistic environments, have achieved impressive results on standard datasets and benchmarks. So far, experiments and e…
Spot the Difference: A Novel Task for Embodied Agents in Changing Environments
Federico Landi, Roberto Bigazzi, Marcella Cornia +3
Embodied AI is a recent research area that aims at creating intelligent agents that can move and operate inside an environment. Existing approaches in this field demand the agents…
Dress Code: High-Resolution Multi-Category Virtual Try-On
Davide Morelli, Matteo Fincato, Marcella Cornia +3
Image-based virtual try-on strives to transfer the appearance of a clothing item onto the image of a target person. Prior work focuses mainly on upper-body clothes (e.g. t-shirts,…
CaMEL: Mean Teacher Learning for Image Captioning
Manuele Barraco, Matteo Stefanini, Marcella Cornia +3
Describing images in natural language is a fundamental step towards the automatic modeling of connections between the visual and textual modalities. In this paper we present CaMEL,…