9 citations · 10 across the 7 of their papers we have counts for
5 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…
Recognizing and Presenting the Storytelling Video Structure with Deep Multimodal Networks
Lorenzo Baraldi, Costantino Grana, Rita Cucchiara
This paper presents a novel approach for temporal and semantic segmentation of edited videos into meaningful segments, from the point of view of the storytelling structure. The obj…