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- Differential Privacy for Industrial Internet of Things: Opportunities, Applications, and Challenges201
This article conducts a comprehensive survey on the opportunities, applications, and challenges of differential privacy in IIoT, and focuses on the metrics of industrial data privacy, and analyze the contradiction between data utilization for deep models and individual privacy protection.
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- Evaluating Quality of Screen Content Images Via Structural Variation Analysis108
This paper separates structures into global and local structures, which correspond to basic and detailed perceptions of humans, respectively, and systematically combines the measurements of variations in the above-stated two types of structures to yield the final quality estimation of screen content images.
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- Boundary uncertainty aware network for automated polyp segmentation87
A novel boundary uncertainty aware network (BUNet) is proposed for precise and robust colorectal polyp segmentation and is superior to thirteen competing methods in terms of both effectiveness and generalization ability.
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- Reduced-Reference Quality Assessment of Point Clouds via Content-Oriented Saliency Projection61
This letter proposes a novel and efficient Reduced-Reference quality metric for point clouds, which is based on Content-oriented sAliency Projection (RR-CAP), and makes the first attempt to simplify reference and distorted point clouds into projected saliency maps with a downsampling operation.
- Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection61
A novel framework based on multi-scale enhanced GCN (MSE-GCN) is designed in this paper, which fuses the functional and structural information from the resting-state functional magnetic resonance imaging and diffusion tensor imaging, respectively to detect EMCI.
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- Morphology-based deep learning enables accurate detection of senescence in mesenchymal stem cell cultures52
A successful morphology-based Cascade region-based convolution neural network system for detecting senescent MSCs, which can automatically locate single cells of different sizes and shapes in multicellular images and assess their senescence state, showing promising performance in both chronic and acute MSC senescence.
- PSNet: Parallel Symmetric Network for Video Salient Object Detection52
A VSOD network with up and down parallel symmetry, named PSNet is proposed and the Importance Perception Fusion (IPF) module is used to fuse the features from two parallel branches according to their different importance in different scenarios.
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- Adaptive Mixed-Scale Feature Fusion Network for Blind AI-Generated Image Quality Assessment50
A novel blind image quality assessment (IQA) network, named AMFF-Net, for AGIs, inspired by the characteristics of the human visual system and motivated by the observation that “visual quality” and “authenticity” are characterized by both local and global aspects.
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- Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering44
Bipartite graph-based discriminative feature learning for multi-view clustering is proposed, which combines bipartitegraph learning and discriminatives feature learning to a unified framework and achieves better or comparable clustering performance than the results of state-of-the-art methods.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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