56 Result(s)
within
Fazhi **e
Computer Science
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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
WalkFormer: 3D mesh analysis via transformer on random walk
A 3D mesh is a popular representation of 3D shapes. For mesh analysis tasks, one typical method is to map 3D mesh data into 1D sequence data with random walk sampling. However, existing random walk-based appro...
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Article
UnifiedSC: a unified framework via collaborative optimization for multi-task person re-identification
Person re-identification (ReID) encompasses two independent study branches, i.e., single-modality and cross-modality identifications. Since single-modality and cross-modality pedestrian data have completely di...
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Chapter and Conference Paper
An Intelligent Image Segmentation Annotation Method Based on Segment Anything Model
Training of supervised neural network models requires a large amount of high-quality datasets with true values. In computer vision tasks such as object detection and image segmentation, the process of annotati...
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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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Chapter and Conference Paper
CLF-Net: A Few-Shot Cross-Language Font Generation Method
Designing a font library takes a lot of time and effort. Few-shot font generation aims to generate a new font library by referring to only a few character samples. Accordingly, it significantly reduces labor c...
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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
Open AccessNormal vibration distribution search-based differential evolution algorithm for multimodal biomedical image registration
In linear registration, a floating image is spatially aligned with a reference image after performing a series of linear metric transformations. Additionally, linear registration is mainly considered a preproc...
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Article
Attention deep residual networks for MR image analysis
Prostate diseases often occur in men. For further clinical treatment and diagnosis, we need to do accurate segmentation on prostate. There are already many methods that concentrate on solving the problem of au...
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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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Chapter and Conference Paper
Unsupervised Anomaly Detection Method Based on DNS Log Data
In order to solve the problem of network attack by malicious code using Domain Name System (DNS), on the basis of analyzing the characteristics of malicious code lines and abnormal operation behaviors, this pa...
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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 non-invasive learning branch to capture leaf-image attention for tree species classification
Tree species classification is a necessary and challenging task for both multimedia technique and forestry engineering. Continuous developments in multimedia and vision technology enable this task to be achiev...
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Chapter and Conference Paper
A Semi-supervised Learning Based on Variational Autoencoder for Visual-Based Robot Localization
Robot localization, the task of determining the current pose of a robot, is a crucial problem of mobile robotic. Visual-based robot localization, which using only cameras as exteroceptive sensors, has become e...
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Chapter and Conference Paper
A Novel Construction Approach for Dehazing Dataset Based on Realistic Rendering Engine
Image dehazing is an important pre-processing for computer vision systems. Modern dehazing techniques are based deep learning and training data. Typical datasets are constructed with depth camera for indoor sc...
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Chapter and Conference Paper
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis
Recently, self-supervised pre-training has advanced Vision Transformers on various tasks w.r.t. different data modalities, e.g., image and 3D point cloud data. In this paper, we explore this learning paradigm for...
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Article
Single image haze removal for aqueous vapour regions based on optimal correction of dark channel
Haze removal is an interesting topic in multimedia and image processing for many applications. Specially for the automatic piloting of ships, the haze removal technology for aqueous vapour regions plays a key ...
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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...
