activity
20172026
most citedDynamically enhanced static handwriting representation for Parkinson's disease detection

122 citations · 383 across the 26 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Dawei Du, Longyin Wen, Pengfei Zhu +52

Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…

cs.CV2021★ 27 cited

A deep learning approach to clustering visual arts

Giovanna Castellano, Gennaro Vessio

Clustering artworks is difficult for several reasons. On the one hand, recognizing meaningful patterns based on domain knowledge and visual perception is extremely hard. On the oth…

cs.CV2021★ 10 cited

Integrating Contextual Knowledge to Visual Features for Fine Art Classification

Giovanna Castellano, Giovanni Sansaro, Gennaro Vessio

Automatic art analysis has seen an ever-increasing interest from the pattern recognition and computer vision community. However, most of the current work is mainly based solely on…

cs.CV2021★ 17 cited

Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks

Eufemia Lella, Gennaro Vessio

In this paper, we propose a novel method for mild cognitive impairment detection based on jointly exploiting the complex network and the neural network paradigm. In particular, the…

cs.CV2021★ 110 cited

Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs

Moises Diaz, Momina Moetesum, Imran Siddiqi +1

Parkinson's disease (PD) is commonly characterized by several motor symptoms, such as bradykinesia, akinesia, rigidity, and tremor. The analysis of patients' fine motor control, pa…