Results 61 to 70 of about 1,349,860 (222)
Pixelated Semantic Colorization [PDF]
International Journal of Computer Vision, 2019 AbstractWhile many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from limited semantic understanding. To address this shortcoming, we propose to exploit pixelated object semantics to guide image colorization.
Zhao, J. +3 more
openaire +6 more sources
, 2003 This paper reports the design of a networked system, the aim of which is to provide an intermediate virtual space that will establish a connection and support interaction between multiple participants in two distant physical spaces.
Bampanelos, A.A.
core
Sensors, 2023 Effects of hot pixels on pixel performance in light and dark environments have been investigated in pinned photodiode 0.18 μm backside illuminated CMOS image sensors irradiated by 10 MeV protons.
Bingkai Liu +4 more
doaj +1 more source
Custom transistor layout design techniques for random telegraph signal noise reduction in CMOS image sensors [PDF]
, 2010 Interface and near oxide traps in small gate area MOS transistors (gate area ,1 mm2) lead to RTS noise which implies the emergence of noisy pixels in CMOS image sensors.
Havard, E. +2 more
core +1 more source
A spatial contrast retina with on-chip calibration for neuromorphic spike-based AER vision systems [PDF]
, 2007 We present a 32 32 pixels contrast retina microchip that provides its output as an address event representation (AER) stream. Spatial contrast is computed as the ratio between pixel photocurrent and a local average between neighboring pixels obtained ...
Costas Santos, Jesús +3 more
core +1 more source
Double-Branch Multilevel Skip Sparse Graph Attention Network for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingGraph neural networks (GNNs) offer a potent framework for learning and representing data with graph structures. In the context of hyperspectral images (HSIs) classification tasks, GNNs have been successfully employed. Among the diverse variations of GNNs,
Qingyan Wang +4 more
doaj +1 more source
Autoencoding beyond pixels using a learned similarity metric [PDF]
, 2016 We present an autoencoder that leverages learned representations to better measure similarities in data space. By combining a variational autoencoder with a generative adversarial network we can use learned feature representations in the GAN ...
Larochelle, Hugo +3 more
core +1 more source
Adaptive Digital Scan Variable Pixels
, 2015 The square and rectangular shape of the pixels in the digital images for sensing and display purposes introduces several inaccuracies in the representation of digital images.
James, Alex Pappachen +2 more
core +1 more source
SkeletonNet: Shape Pixel to Skeleton Pixel [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 Deep Learning for Geometric Shape Understating has organized a challenge for extracting different kinds of skeletons from the images of different objects. This competition is organized in association with CVPR 2019. There are three different tracks of this competition.
Nathan, Sabari, Kansal, Priya
openaire +2 more sources
Sticky Pixels: Evolutionary Growth by Random Drop Ballistic Aggregation [PDF]
, 2001 Over the years many techniques have been developed for simulating and modelling trees, ferns, crystals and natural structures. Indeed, many complex and realistic images have been formed.
Roberts, Jonathan C.
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