Explanipedia

Construction of transglutaminase-induced soy hemoglobin composite gels as blood tofu analogues and quality evaluation under different heating methods Open

Xueqin Hu, Chenxing Xia, Nan Zhang, Mengke Yuan, Zijian Li , et al. · 2025

Reversible Data Hiding for Recursion-PVO Based on Pixels Selection Open

Bin Ge, Yaqing Shen, Chenxing Xia, Rui Sun · 2024

Pixel value ordering (PVO) is one of the most commonly used methods in reversible data hiding (RDH). Most PVO methods currently chunk images, categorize them according to the space complexity of the chunks, and adopt different embedding st…

Multi-PVO for Reversible Data Hiding Based onFull Homomorphic Encryption Open

Bin Ge, Yaqing Shen, Chenxing Xia, Rui Sun · 2024

To enhance the embedding performance of reversible data hiding algorithms and bolster the security of data transmission processes, a novel pixel value ordering method based on full homomorphic encryption is proposed in this paper. First, w…

Evening inulin treatment alleviate anxiety and depression via gut-brain axis: A crucial role for microbiota and amino acids metabolism Open

Ping Chen, Fanyang Chen, Tao Hou, Xueqin Hu, Chenxing Xia , et al. · 2024

Background Increasing evidence has demonstrated that an imbalance in the microbiota-gut-brain axis exerts an essential effect on the pathophysiology of depressive and anxiety disorders. Our previous research revealed that the timing of inu…

CTA-Net: A gaze estimation network based on dual feature aggregation and attention cross fusion Open

Chenxing Xia, Zhanpeng Tao, Wei Wang, Wenjun Zhao, Bin Ge , et al. · 2024

Recent work has demonstrated the Transformer model is effective for computer vision tasks. However, the global self-attention mechanism utilized in Transformer models does not adequately consider the local structure and details of images, …

Imlssod: Interconnected Learning and Multi-Layer Threshold for Semi-Supervised Detection Open

Bin Ge, Yuyang Li, Husnhuan Liu, Chenxing Xia, Shuaishuai Geng · 2024

CTA-Net: A Gaze Estimation network based on Dual Feature Aggregation and Attention Cross Fusion Open

Chenxing Xia, Zhanpeng Tao, Wei Wang, Wenjun Zhao, Bin Ge , et al. · 2023

Recent work has demonstrated the Transformer model is effective for computer vision tasks. However, the global self-attention mechanism utilized in Transformer models does not adequately consider the local structure and details of images, …

An Improved Vibe Algorithm Based on Adaptive Thresholding and the Deep Learning-Driven Frame Difference Method Open

Huilin Liu, Huazhang Wei, Gaoming Yang, Chenxing Xia, Shenghui Zhao · 2023

Foreground detection is the main way to identify regions of interest. The detection effectiveness determines the accuracy of subsequent behavior analysis. In order to enhance the detection effect and optimize the problems of low accuracy, …

High-Capacity Reversible Data Hiding in Encrypted Images Based on 2D-HS Chaotic System and Full Bit-Plane Searching Open

Bin Ge, Guoqing Ge, Chenxing Xia, Xiuzhen Duan · 2023

Using the local correlation of carrier images to embed secret data in MSBs is a popular scheme for reversible data hiding in encrypted images (RDHEI). However, most existing methods based on this scheme face challenges in achieving complet…

MFDANet: Multi-Scale Feature Dual-Stream Aggregation Network for Salient Object Detection Open

Bin Ge, Jiajia Pei, Chenxing Xia, Taolin Wu · 2023

With the development of deep learning, significant improvements and optimizations have been made in salient object detection. However, many salient object detection methods have limitations, such as insufficient context information extract…

Rcnet: Related Context-Driven Network with Hierarchical Attention for Salient Object Detection Open

Chenxing Xia, Yanguang Sun, Kuan‐Ching Li, Bin Ge, Hanling Zhang , et al. · 2023

SiamLight: lightweight networks for object tracking via attention mechanisms and pixel-level cross-correlation Open

Yue Lin, 单目标追踪, Xingzhu Liang, Chenxing Xia · 2022

Despite Siamese-based trackers have achieved great success in recent years, researchers have focused more on the accuracy of trackers than their complexity, which leads to their inapplicability in some scenarios, and the real-time speed ca…

Multi-Image Encryption Algorithm Based on Cascaded Modulation Chaotic System and Block-Scrambling-Diffusion Open

Ting Wang, Bin Ge, Chenxing Xia, Gaole Dai · 2022

To address the problem of a poor security image encryption algorithm based on a single chaotic map, this paper proposes a cascade modulation chaotic system (CMCS) that can generate multiple chaotic maps. On this basis, a multi-image encryp…

GSCINet: Gradual Shrinkage and Cyclic Interaction Network for Salient Object Detection Open

Yanguang Sun, Xiuju Gao, Chenxing Xia, Bin Ge, Songsong Duan · 2022

Feature Pyramid Network (FPN) has been widely applied in the task of salient object detection (SOD), which has achieved great performance. However, most existing FPN-based SOD methods still have some limitations, such as insufficient guida…

Multi-Task Offloading Based on Optimal Stopping Theory in Edge Computing Empowered Internet of Vehicles Open

Liting Mu, Bin Ge, Chenxing Xia, Cai Wu · 2022

Vehicular edge computing is a new computing paradigm. By introducing edge computing into the Internet of Vehicles (IoV), service providers are able to serve users with low-latency services, as edge computing deploys resources (e.g., comput…

Unsupervised Salient Object Detection by Aggregating Multi-Level Cues Open

Chenxing Xia, Hanling Zhang · 2018

In this paper, we present a novel method to detect salient object based on multi-level cues. First, a proposal processing scheme is developed by various object-level saliency cues to generate an initial saliency map. For the sake of more a…

A novel graph structure for salient object detection based on divergence background and compact foreground Open

Chenxing Xia, Hanling Zhang, Keqin Li · 2017

In this paper, we propose an efficient and discriminative model for salient object detection. Our method is carried out in a stepwise mechanism based on both divergence background and compact foreground cues. In order to effectively enhanc…

Saliency detection by aggregating complementary background template with optimization framework Open

Chenxing Xia, Hanling Zhang, Xiuju Gao · 2017

This paper proposes an unsupervised bottom-up saliency detection approach by aggregating complementary background template with refinement. Feature vectors are extracted from each superpixel to cover regional color, contrast and texture in…

Saliency Detection combining Multi-layer Integration algorithm with background prior and energy function Open

Hanling Zhang, Chenxing Xia · 2016

In this paper, we propose an improved mechanism for saliency detection. Firstly,based on a neoteric background prior selecting four corners of an image as background,we use color and spatial contrast with each superpixel to obtain a saline…

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