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pro vyhledávání: '"Kirsten, Lucas N."'
Autor:
Kirsten, Lucas N.
Publikováno v:
International Journal on Recent and Innovation Trends in Computing and Communication; Vol. 11 No. 9 (2023)
This paper investigates the trade-off between computational resource utilization and image quality in the context of image fusion techniques for smartphone camera capture. The study explores various combinations of fusion methods, fusion weights, num
Externí odkaz:
http://arxiv.org/abs/2407.00301
Autor:
Kirsten, Lucas N., Jung, Cláudio R.
Cell detection and tracking are paramount for bio-analysis. Recent approaches rely on the tracking-by-model evolution paradigm, which usually consists of training end-to-end deep learning models to detect and track the cells on the frames with promis
Externí odkaz:
http://arxiv.org/abs/2310.04895
This work evaluates six state-of-the-art deep neural network (DNN) architectures applied to the problem of enhancing camera-captured document images. The results from each network were evaluated both qualitatively and quantitatively using Image Quali
Externí odkaz:
http://arxiv.org/abs/2106.15286
Akademický článek
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