12 Result(s)
within
Computer Science
Artificial Intelligence
Yu. Li
Article
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Article
Information gain based dynamic support set construction for cold-start recommendation
A fundamental challenge for recommendation systems is the cold-start problem, i.e., recommending with no or few user-item interactions. An emerging direction alleviates the problem with meta-learning. These me...
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Article
Morphing aircraft acceleration and deceleration task morphing strategy using a reinforcement learning method
This paper proposes a design scheme for a whole morphing strategy based on the reinforcement learning (RL) method. A novel morphing aircraft is designed, and its nonlinear dynamic equations are established bas...
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Article
Two-stage single image reflection removal with reflection-aware guidance
Removing undesired reflection from an image captured through a glass surface is a very challenging problem with many practical applications. For improving reflection removal, cascaded deep models have been usu...
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Article
Open AccessJoint optic disc and cup segmentation based on multi-scale feature analysis and attention pyramid architecture for glaucoma screening
Automatic segmentation of optic disc (OD) and optic cup (OC) is an essential task for analysing colour fundus images. In clinical practice, accurate OD and OC segmentation assist ophthalmologists in diagnosing...
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Article
An improved spatial temporal graph convolutional network for robust skeleton-based action recognition
Skeleton-based action recognition methods using complete human skeletons have achieved remarkable performance, but the performance of these methods could significantly deteriorate when critical joints or frame...
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Article
Semantic segmentation network with multi-path structure, attention reweighting and multi-scale encoding
Semantic segmentation is an active field of computer vision. It provides semantic information for many applications. In semantic segmentation tasks, spatial information, context information, and high-level sem...
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Article
Delving into monocular 3D vehicle tracking: a decoupled framework and a dedicated metric
Acquiring 3D trajectories of on-road vehicles is an essential visual task for autonomous driving systems. Existing 3D vehicle tracking methods either rely on point cloud data or need to be trained on visual tr...
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Article
Hybrid War** Fusion for Video Frame Interpolation
Video frame interpolation aims to synthesize new intermediate frames between existing ones, which is an important task in video enhancement. A classic direction in this field is flow-based which estimates moti...
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Article
Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset
Low-light image enhancement is challenging in that it needs to consider not only brightness recovery but also complex issues like color distortion and noise, which usually hide in the dark. Simply adjusting th...
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Article
Gravitational search algorithm based on multiple adaptive constraint strategy
In order to improve the convergence speed and optimization accuracy of gravitational search algorithm, the improved gravitational algorithm with dynamically adjusting inertia weight and trend factors of speed ...
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Article
Flash-Optimized B+-Tree
With the rapid increasing capacity of flash memory, flash-aware indexing techniques are highly desirable for flash devices. The unique features of flash memory, such as the erase-before-write constraint and th...
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Article
Fiducial Marker Based on Projective Invariant for Augmented Reality
Fiducial marker based Augmented Reality has many applications. So far the inner pattern of the fiducial marker is always used to encode the markers. Thus a large portion of the fiducial marker image is used fo...
