26 Result(s)
within
**hai Yu
Computer Science
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Article
Correction to: Multibranch multilevel federated learning for a better feature extraction and a plug-and-play dynamic-adjusting double flow personalization approach
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Article
Open AccessDeep 3D mesh watermarking with self-adaptive robustness
Robust 3D mesh watermarking is a traditional research topic in computer graphics, which provides an efficient solution to the copyright protection for 3D meshes. Traditionally, researchers need manually design wa...
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Chapter and Conference Paper
Enhanced Video Segmentation with Object Tracking
The high efficiency and superior performance of fully convolutional network (FCN) architecture makes it a recent trend that employing FCN in video object segmentation task. While these FCN-based methods usuall...
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Chapter and Conference Paper
Learning Cross Camera Invariant Features with CCSC Loss for Person Re-identification
Person re-identification (re-ID) is mainly deployed in the multi-camera surveillance scene, which means that learning cross camera invariant features is highly required. In this paper, we propose a novel loss ...
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Article
Open AccessThe construction of Chinese microblog gender-specific thesauruses and user gender classification
Based on the statistical features, short text messages published by different gender users are different in terms of the words and semantics used. In this paper, two new features are constructed after construc...
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Chapter and Conference Paper
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
Recognizing visual relationships \(\langle \) subject-predicate-object
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Chapter and Conference Paper
Decouple Learning for Parameterized Image Operators
Many different deep networks have been used to approximate, accelerate or improve traditional image operators, such as image smoothing, super-resolution and denoising. Among these traditional operators, many c...
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Chapter and Conference Paper
Secure Image Denoising over Two Clouds
Multimedia processing with cloud is prevalent now, which the cloud server can provide abundant resources to processing various multimedia processing tasks. However, some privacy issues must be considered in cl...
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Chapter and Conference Paper
TCCF: Tracking Based on Convolutional Neural Network and Correlation Filters
With the rapid development of deep learning in recent years, lots of trackers based on deep learning were proposed, and achieved great improvements compared with traditional methods. However, due to the scarci...
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Chapter and Conference Paper
A Saliency Based Human Detection Framework for Infrared Thermal Images
In this paper, a novel saliency framework for crowd detection in infrared thermal images is proposed. In order to obtain the optimal classifier from a large amount of data, the process of training consists of ...
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Chapter and Conference Paper
Key-Region Representation Learning for Anomaly Detection
Anomaly detection and localization is of great importance for public safety monitoring. In this paper we focus on individual behavior anomaly detection, which remains a challenging problem due to complicated d...
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Chapter and Conference Paper
Deep Scale Feature for Visual Tracking
Recently, deep learning methods have been introduced to the field of visual tracking and gain promising results due to the property of complicated feature. However existing deep learning trackers use pre-train...
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Chapter and Conference Paper
PPEDNet: Pyramid Pooling Encoder-Decoder Network for Real-Time Semantic Segmentation
Image semantic segmentation is a fundamental problem and plays an important role in computer vision and artificial intelligence. Recent deep neural networks have improved the accuracy of semantic segmentation ...
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Article
Open AccessSmart motion reconstruction system for golf swing: a DBN model based transportable, non-intrusive and inexpensive golf swing capture and reconstruction system
In the past decade, golf has stimulated people’s great interest and the number of golf players has increased significantly. Therefore, how to train a golfer to make a perfect swing has attracted extensive rese...
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Chapter and Conference Paper
Sequence Generation with Target Attention
Source-target attention mechanism (briefly, source attention) has become one of the key components in a wide range of sequence generation tasks, such as neural machine translation, image caption, and open-doma...
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Chapter and Conference Paper
Improve Neural Network Using Saliency
In traditional neural networks for image classification, every input image pixel is treated the same way. However real human visual system tends pay more attention to what they really focus on. This paper prop...
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Chapter and Conference Paper
Moving Object Segmentation by Length-Unconstrained Trajectory Analysis
Background subtraction for moving cameras is an unsolved key problem in intelligent video analysis. Trajectory analysis has demonstrated a significant difference between background and foreground motion model....
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Chapter and Conference Paper
A Robust Occlusion Judgment Scheme for Target Tracking Under the Framework of Particle Filter
In traffic surveillance system, it is still a challenging issue to track an occluded vehicle continuously and accurately, especially under total occlusion situations. Occlusion judgment is critical in occluded...
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Chapter and Conference Paper
A CRDT Supporting Selective Undo for Collaborative Text Editing
Undo is an important feature of editors. However, even after over two decades of active research and development, support of undo for real-time collaborative editing is still very limited. We examine issues co...
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Chapter and Conference Paper
Cooperative Target Tracking in Dual-Camera System with Bidirectional Information Fusion
The Dual-Camera system which consists of a static camera and a pan-tilt-zoom (PTZ) camera, plays an importance role in public area monitoring. The superiority of this system lies in that it can offer wide area...
