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20202026
most citedFocus on Impact: Indoor Exploration with Intrinsic Motivation

22 citations · 62 across the 29 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022

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…

cs.CV2022

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…

cs.CV2022★ 3 cited

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…

cs.CV2022★ 3 cited

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…

cs.CV2022★ 2 cited

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,…