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Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2851670
Abstract: Most prior approaches to the problem of stereoscopic 3D (S3D) visual discomfort prediction (VDP) have focused on the extraction of perceptually meaningful handcrafted features based on models of visual perception and of natural depth statistics.…
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Keywords:
stereoscopic;
discomfort;
visual discomfort;
ground truth ... See more keywords
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Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2879408
Abstract: Visual saliency on stereoscopic 3D (S3D) images has been shown to be heavily influenced by image quality. Hence, this dependency is an important factor in image quality prediction, image restoration and discomfort reduction, but it…
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Keywords:
deep visual;
saliency stereoscopic;
visual saliency;
image ... See more keywords
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Published in 2025 at "Cancer Research"
DOI: 10.1158/1538-7445.am2025-753
Abstract: Pancreatic ductal adenocarcinoma (PDAC), the most common form of pancreatic cancer, presents a formidable clinical challenge. Patients experience 70-80% post-resection mortality due to recurrence. Identifying aberrant molecular pathways and drivers of pre-cancer progression is an…
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Keywords:
deep visual;
cancer;
visual proteomics;
proteomics dvp ... See more keywords
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Published in 2025 at "Actuators"
DOI: 10.3390/act14010025
Abstract: Robot visual servoing for grasping has long been challenging to execute in complex visual environments because of issues with efficient feature extraction. This paper proposes a novel visual servoing grasping approach based on the Deep…
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Keywords:
based deep;
deep visual;
visual servoing;
servoing feature ... See more keywords