20 Result(s)
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Article
MEAN: An attention-based approach for 3D mesh shape classification
3D shape processing is a fundamental computer application. Specifically, 3D mesh could provide a natural and detailed way for object representation. However, due to its non-uniform and irregular data structure...
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Article
A fast nondominated sorting-based MOEA with convergence and diversity adjusted adaptively
In the past few decades, to solve the multi-objective optimization problems, many multi-objective evolutionary algorithms (MOEAs) have been proposed. However, MOEAs have a common difficulty: because the divers...
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Article
Hybrid feature constraint with clustering for unsupervised person re-identification
Unsupervised person re-identification (Re-ID) has better scalability and usability in real-world deployments due to the lack of annotations, which is more challenging than supervised methods. State-of-the-art ...
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Article
DRDDN: dense residual and dilated dehazing network
Recently, deep convolutional neural networks (CNNs) have made great achievements in image restoration. However, there exists a large space to improve the performance of CNN-based dehazing model. In this paper,...
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Article
A novel privacy-preserving outsourcing computation scheme for Canny edge detection
With the advancement of cloud computing technology, cloud servers are utilized to process large-scale data, especially multimedia data. However, concerns about leakage of private information prevent cloud comp...
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Article
AIDEDNet: anti-interference and detail enhancement dehazing network for real-world scenes
The haze phenomenon seriously interferes the image acquisition and reduces image quality. Due to many uncertain factors, dehazing is typically a challenge in image processing. The most existing deep learning-b...
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Article
Multi-core accelerated CRDT for large-scale and dynamic collaboration
With the advancement of networking technologies and large-scale social computing, multi-user collaboration is becoming popular. In large-scale and dynamic collaborative environments, users may arbitrarily join...
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Article
A semi-transparent selective undo algorithm for multi-user collaborative editors
Multi-user collaborative editors are useful computer-aided tools to support human-to-human collaboration. For multi-user collaborative editors, selective undo is an essential utility enabling users to undo any...
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Article
A multi-phase blending method with incremental intensity for training detection networks
Object detection is an important topic for visual data processing in the visual computing area. Although a number of approaches have been studied, it still remains a challenge. There is a suitable way to promo...
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Article
DRCDN: learning deep residual convolutional dehazing networks
Single image dehazing, which is the process of removing haze from a single input image, is an important task in computer vision. This task is extremely challenging because it is massively ill-posed. In this pa...
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Article
An efficient GPU-based parallel tabu search algorithm for hardware/software co-design
Hardware/software partitioning is an essential step in hardware/software co-design. For large size problems, it is difficult to consider both solution quality and time. This paper presents an efficient GPU-bas...
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Article
Part-based visual tracking with spatially regularized correlation filters
Discriminative Correlation Filters (DCFs) have demonstrated excellent performance in visual object tracking. These methods utilize a periodic assumption of the training samples to efficiently learn a classifie...
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Article
Joint learning of image detail and transmission map for single image dehazing
Single image haze removal is an important task in computer vision. However, haze removal is an extremely challenging problem due to its massively ill-posed, which is that at each pixel we must estimate the tra...
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Article
An innovative multi-label learning based algorithm for city data computing
Investigating correlation between example features and example labels is essential to the solving of classification problems. However, identification and calculation of the correlation between features and lab...
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Article
A correlative denoising autoencoder to model social influence for top-N recommender system
In recent years, there are numerous works been proposed to leverage the techniques of deep learning to improve social-aware recommendation performance. In most cases, it requires a larger number of data to tra...
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Article
A parallel and robust object tracking approach synthesizing adaptive Bayesian learning and improved incremental subspace learning
This paper presents a novel tracking algorithm which integrates two complementary trackers. Firstly, an improved Bayesian tracker(B-tracker) with adaptive learning rate is presented. The classification score o...
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Article
Real-time object tracking via compressive feature selection
Recently, compressive tracking (CT) has been widely proposed for its efficiency, accuracy and robustness on many challenging sequences. Its appearance model employs non-adaptive random projections that preserv...
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Article
Optimization of parallel iterated local search algorithms on graphics processing unit
Local search metaheuristics (LSMs) are efficient methods for solving hard optimization problems in science, engineering, economics and technology. By using LSMs, we could obtain satisfactory resolution (approx...
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Article
Performance-based control interfaces using mixture of factor analyzers
This paper introduces an approach to performance animation that employs a small number of inertial measurement sensors to create an easy-to-use system for an interactive control of a full-body human character....
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Article
Evolutionary computation based optimization of image Zernike moments shape feature vector
The image shape feature can be described by the image Zernike moments. In this paper, we points out the problem that the high dimension image Zernike moments shape feature vector can describe more detail of th...
