Results 211 to 220 of about 22,937 (266)

REAsmash-ET: a methodological framework for combined cognitive and motor assessment through eye-tracking and kinematic metrics in immersive VR search-and-reach task. [PDF]

J Neuroeng Rehabil
Sorrentino G, Edwards MG, Baldini N, Mustile M, Lejeune T, Everard G.   +5 more
europepmc   +1 more source

Approaching human visual perception through AI-based representation of figure-ground segregation. [PDF]

Front Psychol
Yip C, Moroze E, Nishina S, Yazdanbakhsh A.   +3 more
europepmc   +1 more source

Explainable Artificial Intelligence in Dentistry: A Systematic Review of Its Trust and Translation. [PDF]

Int Dent J
Thaweesapphithak S, Thongchotchat V, Alinejad-Rokny H, Samaranayake L, Osathanon T, Porntaveetus T.   +5 more
europepmc   +1 more source

Class-adaptive oracle-free metamorphic test case prioritization framework for vision-based deep neural networks. [PDF]

Sci Rep
Li J, Mohamad R, Ahmad J.
europepmc   +1 more source

Multi-View Transformers for Structure-Aware HA-NA Drift Risk Scoring and Mutation Hotspot Mapping. [PDF]

Viruses
Agarwal P, Yogarayan S, Sayeed MS, Tipu RK.   +3 more
europepmc   +1 more source

Saliency Tree: A Novel Saliency Detection Framework [PDF]

IEEE Transactions on Image Processing, 2014
This paper proposes a novel saliency detection framework termed as saliency tree. For effective saliency measurement, the original image is first simplified using adaptive color quantization and region segmentation to partition the image into a set of primitive regions. Then, three measures, i.e., global contrast, spatial sparsity, and object prior are
Olivier Le Meur, Zhi Liu, Wenbin Zou
exaly   +5 more sources

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On the distribution of saliency

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004
Detecting salient structures is a basic task in perceptual organization. Saliency algorithms typically mark edge-points with some saliency measure, which grows with the length and smoothness of the curve on which these edge-points lie. Here, we propose a modified saliency estimation mechanism that is based on probabilistically specified grouping cues ...
Alexander Berengolts, Michael Lindenbaum
openaire   +3 more sources

Ranking Saliency

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
Most existing bottom-up algorithms measure the foreground saliency of a pixel or region based on its contrast within a local context or the entire image, whereas a few methods focus on segmenting out background regions and thereby salient objects.
Lihe Zhang, Chuan Yang, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang 0001   +4 more
openaire   +2 more sources

Saliency Diagrams

SIGGRAPH Asia 2019 Technical Briefs, 2019
Keyframes are a core notion used by animators to understand and describe the motion. In this paper, we take inspiration from keyframe animation to compute a feature that we call the “Saliency diagram” of the animation. To create our saliency diagrams, we visualize how often each frame becomes a keyframe when using an existing selection technique ...
Nicolas Nghiem, Richard Roberts 0004, John P. Lewis, Junyong Noh   +3 more
openaire   +1 more source

Touch saliency

Proceedings of the 20th ACM international conference on Multimedia, 2012
In this work, we propose a new concept of touch saliency, and attempt to answer the question of whether the underlying image saliency map may be implicitly derived from the accumulative touch behaviors (or more specifically speaking, zoom-in and panning manipulations) when many users browse the image on smart mobile devices with multi-touch display of ...
Mengdi Xu, Bingbing Ni, Jian Dong 0011, ZhongYang Huang, Meng Wang 0001, Shuicheng Yan   +5 more
openaire   +1 more source