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Article
Cross-Modal Fusion and Progressive Decoding Network for RGB-D Salient Object Detection
Most existing RGB-D salient object detection (SOD) methods tend to achieve higher performance by integrating additional modules, such as feature enhancement and edge generation. There is no doubt that these mo...
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Article
Low-light image enhancement using transformer with color fusion and channel attention
Low-light image enhancement aims to optimize images captured in low-light conditions with low brightness and contrast, rendering them natural-looking images that are more aligned with the human visual system. ...
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Article
Unsupervised image-to-image translation with multiscale attention generative adversarial network
Unsupervised image-to-image translation refers to translating images from the source domain to the target domain, assuring that the translated images have the style of the target domain while retaining the con...
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Article
MadFormer: multi-attention-driven image super-resolution method based on Transformer
While the Transformer-based method has demonstrated exceptional performance in low-level visual processing tasks, it has a strong modeling ability only locally, thereby neglecting the importance of spatial fea...
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Article
Open AccessPlasma cell-free DNA 5-hydroxymethylcytosine and whole-genome sequencing signatures for early detection of esophageal cancer
Esophageal cancer is a highly incidence and deadly disease with a poor prognosis, especially in develo** countries. Owing to the lack of specific symptoms and early diagnostic biomarkers, most patients are d...
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Article
SiamADT: Siamese Attention and Deformable Features Fusion Network for Visual Object Tracking
To date, existing Siamese-based trackers have achieved excellent performance. However, in some complex scenarios, using deep convolutional layers alone can not effectively capture powerful representative featu...
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Article
A cross-view geo-localization method guided by relation-aware global attention
Cross-view geo-localization mainly exploits query images to match images from the same geographical location from different platforms. Most existing methods fail to adequately consider the effect of image stru...
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Article
Style transfer network for complex multi-stroke text
Neural style transfer has achieved success in many tasks. It is also introduced to text style transfer, which uses a style image to generate transferred images with textures and shapes consistent with the sema...
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Article
Deblurring transformer tracking with conditional cross-attention
In object tracking, motion blur is a common challenge induced by rapid movement of target object or long time exposure of the camera, which leads to poor tracking performance. Traditional solutions usually per...
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Article
WATB: Wild Animal Tracking Benchmark
With the development of computer vision technology, many advanced computer vision methods have been successfully applied to animal detection, tracking, recognition and behavior analysis, which is of great help...
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Article
Context and saliency aware correlation filter for visual tracking
Visual tracking in complex scenarios is a big challenge in the computer vision community. Due to correlation filter (CF) recently have achieved excellent results both on accuracy and robustness in visual track...
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Article
Stacked Pyramid Attention Network for Object Detection
Scale variation is one of the primary challenges in object detection. Recently, different strategies have been introduced to address this challenge, achieving promising performance. However, limitations still ...
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Article
AMTSet: a benchmark for abrupt motion tracking
Since the OTB100 benchmark dataset is released, it has been widely used in a large number of researches on object tracking for performance evaluation. However, the existing datasets are insufficient to evaluat...
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Article
On-line modeling and monitoring for multi-operation batch processes with infinite data types
For complex industrial processes with frequent operating characteristics, process data types will be infinite due to the randomness and uncertainty of operation. Additionally, the process data follow serious n...
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Article
Two-Layer IMM Tracker with Variable Structure for Curvilinear Maneuvering Targets
It is of great importance to develop a robust and fast tracking algorithm for curvilinear maneuvering targets in tracking system. To target this issue, a novel two-layer interacting multiple model (IMM) tracke...
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Article
Supervised and Constrained Nonnegative Matrix Factorization with Sparseness for Image Representation
Nonnegative Matrix Factorization (NMF) has been becoming an important method for feature dimension reduction in recent years since it can represent data with strong strength. In this paper, we present a novel ...
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Chapter and Conference Paper
Towards Stereo Matching Algorithm Based on Multi-matching Primitive Fusion
Classical adaptive support weight (ASW) algorithm has poor robustness and high computational complexity for stereo matching in the case of relatively low texture and complex texture regions. To solve this issu...
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Chapter and Conference Paper
Parameter Selection for Denoising Algorithms Using NR-IQA with CNN
In order to yield satisfied image after denosing processing, the process of error tracing is nearly necessary for parameter selection. In practice, usually the choice of such parameters is time consuming and e...
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Chapter and Conference Paper
Incremental Nonnegative Matrix Factorization with Sparseness Constraint for Image Representation
Nonnegative matrix factorization (NMF) is a powerful method of data dimension reduction and has been widely used in face recognition. However, existing NMF algorithms have two main drawbacks. One is that the s...
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Chapter and Conference Paper
Adaptive NNs Fault-Tolerant Control for Nonstrict-Feedback Nonlinear Systems
In this paper, the problem of fault-tolerant control (FTC) is investigated for a class of nonlinear single input and single output (SISO) systems in the non-strict feedback form. The considered system possess ...
