Hongbo Bi
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View article: Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark
Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark Open
In this paper, we provide a comprehensive study on a new task called collaborative camouflaged object detection (CoCOD), which aims to simultaneously detect camouflaged objects with the same properties from a group of relevant images. To t…
View article: Camouflaged objects detection network via contradiction detection and feature aggregation
Camouflaged objects detection network via contradiction detection and feature aggregation Open
Camouflaged Object Detection(COD) aims to segment objects with a similar appearance to the background. There are some problems in existing algorithms, such as blurred edges and incomplete detection. To address the above issues, we propose …
View article: Sampled Characteristic Modeling and Forgetting Gradient Learning Algorithm for Robot Servo Systems
Sampled Characteristic Modeling and Forgetting Gradient Learning Algorithm for Robot Servo Systems Open
Servo systems of robotic exhibit nonlinear coupling with multidimensional characteristics, which poses a challenge to existing modeling and identification techniques. According to a kind of robot servo system which runs repetitively operat…
View article: Differential Privacy via Haar Wavelet Transform and Gaussian Mechanism for Range Query
Differential Privacy via Haar Wavelet Transform and Gaussian Mechanism for Range Query Open
Range query is the hot topic of the privacy-preserving data publishing. To preserve privacy, the large range query means more accumulate noise will be injected into the input data. This study presents a research on differential privacy for…
View article: D$^{2}$C-Net: A Dual-Branch, Dual-Guidance and Cross-Refine Network for Camouflaged Object Detection
D$^{2}$C-Net: A Dual-Branch, Dual-Guidance and Cross-Refine Network for Camouflaged Object Detection Open
International audience
View article: Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration Open
Saliency detection based on the complementary information from RGB images and depth maps has recently gained great popularity. In this paper, we propose Complementary Attention and Adaptive Integration Network (CAAI-Net), a novel RGB-D sal…
View article: Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion
Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion Open
Camouflaged object detection (COD), which aims to identify the objects that conceal themselves into the surroundings, has recently drawn increasing research efforts in the field of computer vision. In practice, the success of deep learning…
View article: WGI-Net: A weighted group integration network for RGB-D salient object detection
WGI-Net: A weighted group integration network for RGB-D salient object detection Open
Salient object detection is used as a pre-process in many computer vision tasks (such as salient object segmentation, video salient object detection, etc.). When performing salient object detection, depth information can provide clues to t…
View article: Erratum to: A Lightweight Network Based on Pyramid Residual Module for Human Pose Estimation
Erratum to: A Lightweight Network Based on Pyramid Residual Module for Human Pose Estimation Open
erratum
View article: Performance Comparison of Saliency Detection
Performance Comparison of Saliency Detection Open
Saliency detection has attracted significant attention in the field of computer vision technology over years. At present, more than 100 saliency detection models have been proposed. In this paper, a relatively more detailed classification …
View article: Digital video watermarking algorithm based on asymmetric causal spatio-temporal filter
Digital video watermarking algorithm based on asymmetric causal spatio-temporal filter Open
Digital video is vulnerable to accidental or malicious destruction in storage, transmission, processing, which damages the legitimate rights and interests of the product owners. Digital video watermarking technology is a mean to protect in…
View article: Construction of Chaos-Gaussian measurement matrix based on the even cross-correlation properties of logistic sequence
Construction of Chaos-Gaussian measurement matrix based on the even cross-correlation properties of logistic sequence Open
In this paper, we propose a high efficiency deterministic measurement matrix for practical compressive sensing based on the combination of Logistic Chaotic system and correlation, called Chaos-Gaussian measurement matrix. Initially, determ…
View article: Suboptimal Learning Control for Nonlinearly Parametric Time-Delay Systems Under Alignment Condition
Suboptimal Learning Control for Nonlinearly Parametric Time-Delay Systems Under Alignment Condition Open
In order to achieve perfect trajectory-tracking performance over the entire time interval at a higher convergence speed, this paper proposes a suboptimal learning control scheme for a class of nonlinearly parametric time-delay systems unde…
View article: On the Access Control Mechanism of Wireless Sensor Network
On the Access Control Mechanism of Wireless Sensor Network Open
This paper puts forward an approach of access control based on unidirectional chain. For the purpose of increasing the number of users, improving the expandability of access ability, and resisting the attacks aiming at capturing users, the…
View article: Block Compressive Sensing Algorithm Based on Interleaving Extraction in Contourlet Domain
Block Compressive Sensing Algorithm Based on Interleaving Extraction in Contourlet Domain Open
We propose a block image compressive sensing algorithm based on interleaving extraction in Contourlet domain to improve the performance of image sparse representation and quality of reconstructed images. First, we propose the interleaving …
View article: Application of Data Fusion Technology Based on Weight Improved Particle Swarm Optimization Neural Network Algorithm in Wireless Sensor Networks
Application of Data Fusion Technology Based on Weight Improved Particle Swarm Optimization Neural Network Algorithm in Wireless Sensor Networks Open
With the development of sensor technology, network technology, embedded control technology and wireless communication technology, the application of wireless sensor networks (WSN) has become more and more widely.Wireless sensor networks ha…
View article: Watermark Detection in NSCT-Domain
Watermark Detection in NSCT-Domain Open
In this paper, we presented a Rao hypothesis detector by modeling Cauchy distribution for the NonSubsampled Contourlet Transform (NSCT) subband coefficients in the field of additive spread spectrum image watermarking. Firstly, the NSCT sub…
View article: NSCT Domain Additive Watermark Detection Using RAO Hypothesis Test and Cauchy Distribution
NSCT Domain Additive Watermark Detection Using RAO Hypothesis Test and Cauchy Distribution Open
We presented a RAO hypothesis detector by modeling Cauchy distribution for the Nonsubsampled Contourlet Transform (NSCT) subband coefficients in the field of additive spread spectrum image watermarking. Firstly, the NSCT subband coefficien…