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Found 8 papers, 1 papers with code
CityGen: Infinite and Controllable 3D City Layout Generation
In this paper, we propose CityGen, a novel end-to-end framework for infinite, diverse and controllable 3D city layout generation. First, we propose an outpainting pipeline to extend the local layout to an infinite city layout.
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision.
Improving 2D face recognition via fine-level facial depth generation and RGB-D complementary feature learning
Some methods utilize depth estimation to obtain depth corresponding to RGB to improve the accuracy of face recognition.
Blind Inpainting with Object-aware Discrimination for Artificial Marker Removal
The reconstruction network consists of two branches that predict the corrupted regions with artificial markers and simultaneously recover the missing visual contents.
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
With the development of computer-assisted techniques, research communities including biochemistry and deep learning have been devoted into the drug discovery field for over a decade.
Feasible Architecture for Quantum Fully Convolutional Networks
Fully convolutional networks are robust in performing semantic segmentation, with many applications from signal processing to computer vision.
The Trace Criterion for Kernel Bandwidth Selection for Support Vector Data Description
Support vector data description (SVDD) is a popular anomaly detection technique.
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Each iteration involves only the existing support vectors and the new data point.
