153 Result(s)
within
English
Artificial Intelligence
Image Processing and Computer Vision
Dong-**ng Wang
Chapter
Conference Paper
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Chapter and Conference Paper
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
Rare diseases are characterized by low prevalence and are often chronically debilitating or life-threatening. Imaging-based classification of rare diseases is challenging due to the severe shortage in training...
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Chapter and Conference Paper
Event-Driven Collision-Free Path Planning for Cooperative Robots in Dynamic Environment
This paper presents an event-driven safe collision-free path planning method for robotic manipulator in human-robot cooperation. To meet the rapidity requirement of real-time robotic systems, the event-driven ...
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Chapter and Conference Paper
VeriDL: Integrity Verification of Outsourced Deep Learning Services
Deep neural networks (DNNs) are prominent due to their superior performance in many fields. The deep-learning-as-a-service (DLaaS) paradigm enables individuals and organizations (clients) to outsource their DN...
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Chapter and Conference Paper
Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network
Automated breast ultrasound (ABUS) is a new and promising imaging modality for breast cancer detection and diagnosis, which could provide intuitive 3D information and coronal plane information with great diagn...
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Chapter and Conference Paper
Text Recognition for Automated Test Execution in Interlocking: A Deep Learning Approach
In this paper, we present a deep learning character recognition algorithm based on multi-level segmentation. It can improve the accuracy of recognition of button characters in the interlocked upper computer in...
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Chapter and Conference Paper
State Evaluation of Electric Bus Battery Capacity Based on Big Data
Compared with traditional fuel vehicles, electric vehicles have the advantages of low carbon, low pollution and low noise. At present, major auto manufacturers are actively exploring the field of electric vehi...
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Chapter and Conference Paper
Relation Modeling with Graph Convolutional Networks for Facial Action Unit Detection
Most existing AU detection works considering AU relationships are relying on probabilistic graphical models with manually extracted features. This paper proposes an end-to-end deep learning framework for facia...
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Chapter and Conference Paper
Adversarial Vision Challenge
This competition was meant to facilitate measurable progress towards robust machine vision models and more generally applicable adversarial attacks. It encouraged researchers to develop query-efficient adversa...
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
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Chapter and Conference Paper
Study on 3D Modeling of Complex Coal Mine Interface
Coal seam floor, fault are important geological interfaces to be focused in the process of coal exploration and mining. This paper analyzes in detail the characteristics of complex coal seam floor and fault an...
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Chapter and Conference Paper
Training Low Bitwidth Model with Weight Normalization for Convolutional Neural Networks
Convolutional Neural Networks (CNNs) is now widely utilized in computer vision applications, including image classification, object detection and segmentation. However, high memory complexity and computation ...
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Chapter and Conference Paper
Deep Learning Based Fluid Segmentation in Retinal Optical Coherence Tomography Images
Macular Edema (ME) is the accumulation of fluid in the macular region of the eye, and it may lead to the distortion of center vision. It often occurs in diabetic retinopathy. It is important to measure fluid a...
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Chapter and Conference Paper
A New Method of Metaphor Recognition for A-is-B Model in Chinese Sentences
Metaphor recognition is the bottleneck of natural language processing, and the metaphor recognition for A-is-B mode is the difficulty of metaphor recognition. Compared with phrase recognition, the metaphor rec...
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Chapter and Conference Paper
Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation
Segmenting left atrium in MR volume holds great potentials in promoting the treatment of atrial fibrillation. However, the varying anatomies, artifacts and low contrasts among tissues hinder the advance of bot...
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Chapter and Conference Paper
Application of Growth Curve in Agricultural Scientific Research
This paper introduces the application of logistic curve in agricultural science, and gives a division method of parameter estimation of logistic curve. Because the logistic curve contains three parameters, it ...
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Chapter and Conference Paper
Model Learning: Primal Dual Networks for Fast MR Imaging
Magnetic resonance imaging (MRI) is known to be a slow imaging modality and undersampling in k-space has been used to increase the imaging speed. However, image reconstruction from undersampled k-space data is...
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Chapter and Conference Paper
Threshold-Dependent Joint Bilateral Filter Algorithm for Enhancing 3D Gated Range-Intensity Correlation Imaging
Three-dimensional gated range-intensity correlation imaging (GRICI) can acquire three-dimensional information of targets with high range resolution in real time. In practical applications, the intensity distri...
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Chapter and Conference Paper
Weakly Supervised Segmentation from Extreme Points
Annotation of medical images has been a major bottleneck for the development of accurate and robust machine learning models. Annotation is costly and time-consuming and typically requires expert knowledge, es...
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Chapter and Conference Paper
China’s Wine Import Industry: An Economic Analysis of Influencing Trade Factors
In recent years, China is undergoing a huge economic transformation since joining in World Trade Organization (WTO) and it has showed an increasing demand for wine. As China’s wine consumption market is increa...
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Chapter and Conference Paper
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound
Standard plane localization is crucial for ultrasound (US) diagnosis. In prenatal US, dozens of standard planes are manually acquired with a 2D probe. It is time-consuming and operator-dependent. In comparison...
