LAUSR

The assessment of 3D model representation for retrieval with CNN-RNN networks

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1 Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-7102-2

Abstract: In this paper, we propose a novel method for assessing 3D model representation via CNN and RNN networks. First, a visual tool developed with OpenGL is utilized to extract virtual views of each 3D model… read more here.

Keywords: rnn networks; model representation; retrieval; cnn rnn ... See more keywords

A dual CNN-RNN for multiple people tracking

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0 Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.08.008

Abstract: Abstract In this paper, we present a deep learning-based approach, namely a dual CNN–RNN for multiple people tracking. We follow tracking-by-detection paradigm by first training a CNN to measure the similarity of two detection boxes.… read more here.

Keywords: multiple people; people tracking; cnn rnn; dual cnn ... See more keywords

Comparative Analysis of CNN and RNN for Voice Pathology Detection

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1 Published in 2021 at "BioMed Research International"

DOI: 10.1155/2021/6635964

Abstract: Diagnosis on the basis of a computerized acoustic examination may play an incredibly important role in early diagnosis and in monitoring and even improving effective pathological speech diagnostics. Various acoustic metrics test the health of… read more here.

Keywords: comparative analysis; detection; voice; cnn rnn ... See more keywords