Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism. Thanks to its strong representation …
Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism. Thanks to its strong representation …
B Rossion - Visual Cognition, 2013 - Taylor & Francis
Two identical top halves of a face are perceived as being different when their bottom halves belong to different faces, showing that the parts of a face cannot be perceived independently …
Recently, there have been a number of advances in technology, including in mobile devices, globalization of companies, display technologies and healthcare, all of which require …
J Zeng, D Wang, P Chen - IEEE Access, 2022 - ieeexplore.ieee.org
In recent years, the popularity of depth sensors and three-dimensional (3D) scanners has led to the rapid development of 3D point clouds. A transformer is a type of deep neural …
C Bennett, J Ryall, L Spalteholz, A Gooch - CAe, 2007 - researchgate.net
The discipline of graph visualization produces pictorial representations of node–link structures. Much effort has been directed toward making such diagrams visually pleasing. A …
JR Pomerantz, MC Portillo - Journal of Experimental Psychology …, 2011 - psycnet.apa.org
Gestalt phenomena are often so powerful that mere demonstrations can confirm their existence, but Gestalts have proven hard to define and measure. Here we outline a theory of …
The tilt illusion is a paradigmatic example of contextual influences on perception. We analyze it in terms of a neural population model for the perceptual organization of visual …
Y Li, Z Pizlo, RM Steinman - Vision research, 2009 - Elsevier
Human beings perceive 3D shapes veridically, but the underlying mechanisms remain unknown. The problem of producing veridical shape percepts is computationally difficult …