Dynca: Real-time dynamic texture synthesis using neural cellular automata
Abstract Current Dynamic Texture Synthesis (DyTS) models can synthesize realistic videos.
However, they require a slow iterative optimization process to synthesize a single fixed-size …
However, they require a slow iterative optimization process to synthesize a single fixed-size …
Synthesizing dynamic patterns by spatial-temporal generative convnet
Video sequences contain rich dynamic patterns, such as dynamic texture patterns that
exhibit stationarity in the temporal domain, and action patterns that are non-stationary in …
exhibit stationarity in the temporal domain, and action patterns that are non-stationary in …
Multi-task deep convolutional neural network for cancer diagnosis
Using computational techniques especially deep learning methods to facilitate and enhance
cancer detection and diagnosis is a promising and important area. Nowadays, gene …
cancer detection and diagnosis is a promising and important area. Nowadays, gene …
Hetero-manifold regularisation for cross-modal hashing
Recently, cross-modal search has attracted considerable attention but remains a very
challenging task because of the integration complexity and heterogeneity of the multi-modal …
challenging task because of the integration complexity and heterogeneity of the multi-modal …
A hybrid fusion model of iris, palm vein and finger vein for multi-biometric recognition system
C Zhou, J Huang, F Yang, Y Liu - Multimedia Tools and Applications, 2020 - Springer
Biometric system has been widely adopted for human verification or identification, so
inherently it requires the characteristics like high security, accuracy and acceptability …
inherently it requires the characteristics like high security, accuracy and acceptability …
Accurate Ulva prolifera regions extraction of UAV images with superpixel and CNNs for ocean environment monitoring
Abstract UAV (Unmanned Aerial Vehicle) monitoring mounted with high resolution camera is
a rising way to monitor the ocean environment, and it can make up the shortages of low …
a rising way to monitor the ocean environment, and it can make up the shortages of low …
Learning energy-based spatial-temporal generative convnets for dynamic patterns
Video sequences contain rich dynamic patterns, such as dynamic texture patterns that
exhibit stationarity in the temporal domain, and action patterns that are non-stationary in …
exhibit stationarity in the temporal domain, and action patterns that are non-stationary in …
Edge-based video compression texture synthesis using generative adversarial network
It has been recognized that texture patterns with abundant high-frequency components,
such as grass and water, produce visual masking effects, and the distortion in textures is …
such as grass and water, produce visual masking effects, and the distortion in textures is …
Feature fusion and non-negative matrix factorization based active contours for texture segmentation
This paper presents a robust and convex active contour model for texture segmentation.
Firstly, to achieve more comprehensive feature description, we compute a set of feature …
Firstly, to achieve more comprehensive feature description, we compute a set of feature …
Multi-orientation and multi-scale features discriminant learning for palmprint recognition
Palmprint contains stable and effective features, especially the orientation and scale
features of palm lines, and has now become an important identity recognition technique for …
features of palm lines, and has now become an important identity recognition technique for …