23 Result(s)
within
**hai Yu
Computer Science
Artificial Intelligence
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
Neural Watermarking for 3D Morphable Models
3D morphable models (3DMMs) have been widely used in computer graphics applications. Therefore, digital watermarking for 3DMMs can also become a valuable research direction in the near future. However, previou...
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Chapter and Conference Paper
Augmenting SQLite for Local-First Software
Local-first software aims at both the ability to work offline on local data and the ability to collaborate across multiple devices. CRDTs (conflict-free replicated data types) are abstractions for offline and ...
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Chapter and Conference Paper
Research on Online Leakage Assessment
Leakage assessment is the most common approach applied for assessing side-channel information leakage and validating the effectiveness of side-channel countermeasures. Established evaluation approaches are usu...
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Chapter and Conference Paper
Anomaly Detection with Passive Aggressive Online Gaussian Model Estimation
Anomaly detection is an important topic for surveillance video analysis and public security management. One of the major challenges comes from the fact that there is no abnormal data for training in most cases...
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Chapter and Conference Paper
Visual Tracking by Deep Discriminative Map
Deep neural networks which widely used in image classification and speech recognition have been successfully applied to model-free object tracking. However, during tracking, it easily falls into over-fitting p...
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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
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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Chapter and Conference Paper
Anticipatory Runway Incursion Prevention Based on Inaccurate Position Surveillance Information
To build a practical anticipatory runway incursion prevention system (ARIPS), it is necessary to predict runway incursions based on inaccurate position information of aircraft and vehicles. To this end, this p...
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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
Semi-supervised Learning for Human Pose Recognition with RGB-D Light-Model
This work targets human pose recognition based on RGB-D videos. In recently, RGB-D based methods can be typically represented as either maps-based approaches or skeleton-based approaches. This paper proposes a...
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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
Emotion Aware System for the Elderly
The growth in elderly population challenges technologists to develop applications explicitly designed for the elderly which are innovative yet intuitive to use. According to recent studies in Gerontology, one ...
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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
News Event Detection Based Web Big Data
News event detection is also called TDT (Topic Detection and Tracking), which is hot research field. Previous studies about TDT are general based on news headline. However, the headline in certain situations c...
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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...
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Chapter and Conference Paper
Study of Geotechnical Parameter for Metro Tunnel on Differential Evolution Algorithm
The displacement back analysis is an effective means on inversion of rock mechanical parameters. Differential evolution algorithm has many advantages and good prospects to solve problems of geotechnical parame...
