26 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
**u Tao
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Article
Retraction Note: A streak detection approach for comprehensive two-dimensional gas chromatography based on image analysis
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Article
Open AccessA new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement
Digital image noise may be introduced during acquisition, transmission, or processing and affects readability and image processing effectiveness. The accuracy of established image processing techniques, such a...
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Article
Correction to: TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems
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Article
Open AccessNeuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3
Deep neural networks (DNNs) have delivered unprecedented achievements in the modern Internet of Everything society, encompassing autonomous driving, expert diagnosis, unmanned supermarkets, etc. It continues t...
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Article
Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19
This study proposes a novel interpretable framework to forecast the daily tourism volume of Jiuzhaigou Valley, Huangshan Mountain, and Siguniang Mountain in China under the impact of COVID-19 by using multivar...
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Article
DCU-Net: a dual-channel U-shaped network for image splicing forgery detection
The detection and location of image splicing forgery are a challenging task in the field of image forensics. It is to study whether an image contains a suspicious tampered area pasted from another image. In th...
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Article
Open AccessMulti-view dual attention network for 3D object recognition
The existing view-based 3D object classification and recognition methods ignore the inherent hierarchical correlation and distinguishability of views, making it difficult to further improve the classification ...
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Chapter and Conference Paper
Combining Cross Entropy Loss with Manually Defined Hard Example for Semantic Image Segmentation
Semantic image segmentation has been one of the fundamental tasks in computer vision, which aims to assign a label to each pixel in an image. Nowadays, approaches based on fully convolutional network (FCN) hav...
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Chapter and Conference Paper
On Quantifying Local Geometric Structures of Fiber Tracts
In diffusion MRI, fiber tracts, represented by densely distributed 3D curves, can be estimated from diffusion weighted images using tractography. The spatial geometric structure of white matter fiber tracts is...
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Chapter and Conference Paper
Visual Tracking Using Multi-layer CNN Features Based Discriminant Correlation Filters with Foreground Mask
This work deals with visual object tracking. The well known discriminant correlation filter (DCF) based approach is improved by multi-layer CNN features, spatial reliability (through a foreground mask) and con...
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Chapter and Conference Paper
One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation
The model cascade strategy that runs a series of deep models sequentially for coarse-to-fine medical image segmentation is becoming increasingly popular, as it effectively relieves the class imbalance problem....
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Chapter and Conference Paper
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer’s Disease Diagnosis
Multi-modal neuroimages (e.g., MRI and PET) have been widely used for diagnosis of brain diseases such as Alzheimer’s disease (AD) by providing complementary information. However, in practice, it is unavoidabl...
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Chapter and Conference Paper
GPU Accelerated Image Matching with Cascade Hashing
SIFT feature is widely used in image matching. However, matching massive images is time consuming because SIFT feature is a high dimensional vector. In this paper, we proposed a GPU accelerated image matching ...
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Chapter and Conference Paper
Crowd Counting Based on MMCNN in Still Images
Accurately estimate the crowd count from a still image with arbitrary perspective and arbitrary crowd density is one of the difficulties of crowd analysis in surveillance videos. Conventional methods are scene...
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Chapter and Conference Paper
Massively Parallel Image Index for Vocabulary Tree Based Image Retrieval
Although vocabulary tree based algorithm has high efficiency for image retrieval, it still faces a dilemma when dealing with large data. In this paper, we show that image indexing is the main bottleneck of voc...
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Chapter and Conference Paper
Robust Visual Tracking Using Oriented Gradient Convolution Networks
Convolutional networks have been successfully applied to visual tracking to extract some useful feature. However, deep networks are time-consuming to offline training and usually extract the feature from raw p...
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Chapter and Conference Paper
Palmprint Recognition Using Sparse Representation of Variable Window-Width Real-Valued Gabor Feature
This paper proposed a simple but effective palmprint recognition algorithm using improved Real-valued Discrete Gabor Transform (RDGT) and Sparse Representation based Classification (SRC) method. Compared to th...
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Chapter and Conference Paper
Relevance and Coherence Based Image Caption
The attention-based image caption framework has been widely explored in recent years. However, most techniques generate next word conditioned on previous words and current visual contents, while the relationsh...
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Chapter and Conference Paper
Application of Ant Colony Optimization in Cloud Computing Load Balancing
In cloud computing, because all the tasks are submitted and requested by the users, it is the key to improve the quality of service whether all tasks are scheduled to every host to achieve the shortest complet...
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Chapter and Conference Paper
Deep Discrete Hashing with Self-supervised Pairwise Labels
Hashing methods have been widely used for applications of large-scale image retrieval and classification. Non-deep hashing methods using handcrafted features have been significantly outperformed by deep hashin...
