19 Result(s)
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Article
Ultra-High Resolution Image Segmentation via Locality-Aware Context Fusion and Alternating Local Enhancement
Ultra-high resolution image segmentation has raised increasing interests in recent years due to its realistic applications. In this paper, we innovate the widely used high-resolution image segmentation pipelin...
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Article
Fall detection on embedded platform using infrared array sensor for healthcare applications
Previous vision-based research has predominantly used common visible light cameras as sensors for detecting falls in home environments. While some studies have explored the use of infrared cameras for this pur...
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Article
Machine learning techniques for CT imaging diagnosis of novel coronavirus pneumonia: a review
Since 2020, novel coronavirus pneumonia has been spreading rapidly around the world, bringing tremendous pressure on medical diagnosis and treatment for hospitals. Medical imaging methods, such as computed tom...
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Article
Single-View View Synthesis with Self-rectified Pseudo-Stereo
Synthesizing novel views from a single view image is a highly ill-posed problem. We discover an effective solution to reduce the learning ambiguity by expanding the single-view view synthesis problem to a mult...
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Chapter
Transfer Learning via Representation Learning
The remarkable performance boost of artificial intelligence (AI) algorithms is a result of re-emergence of deep neural networks that have been applied in a diverse set of applications. The success of deep lear...
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Chapter and Conference Paper
Mean Field Theory and Stochastic Evolution in Four Species Cyclic Games with One Diagonal
In order to research four species cyclic games with one diagonal, we present a non-standard Rock-Paper-Scissors game. In this game, four species are in cyclic competition. Meanwhile, the species in the only on...
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Chapter and Conference Paper
An Unsupervised Sentence Embedding Method by Maximizing the Mutual Information of Augmented Text Representations
For natural language processing tasks with unlabeled or partially labeled datasets, it is vital to learn sentence representations in an unsupervised manner. However, unsupervised methods pale by comparison to ...
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Chapter and Conference Paper
Chinese Named Entity Recognition Using the Improved Transformer Encoder and the Lexicon Adapter
As a basic work of natural language processing (NLP), named entity recognition (NER) has attracted wide attention. Many methods of fusing the potential word representations in a Chinese sentence into the corre...
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Article
Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement
We address the problem of restoring a high-resolution face image from a blurry low-resolution input. This problem is difficult as super-resolution and deblurring need to be tackled simultaneously. Moreover, ex...
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Article
Deep binocular tone map**
Binocular tone map** is studied in the previous works to generate a fusible pair of LDR images in order to convey more visual content than one single LDR image. However, the existing methods are all based on...
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Article
Efficient image super-resolution integration
The super-resolution (SR) problem is challenging due to the diversity of image types with little shared properties as well as the speed required by online applications, e.g., target identification. In this pap...
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Chapter and Conference Paper
DDoS Attack Security Situation Assessment Model Using Fusion Feature Based on Fuzzy C-Means Clustering Algorithm
DDoS attacks have impaired the network availability seriously in the new network environment and the traditional network situation assessment methods cannot effectively evaluate the DDoS attack security situat...
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Article
Joint Image Denoising and Disparity Estimation via Stereo Structure PCA and Noise-Tolerant Cost
Stereo cameras are now commonly available on cars and mobile phones. However, the captured images may suffer from low image quality under noisy conditions, producing inaccurate disparity. In this paper, we aim...
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Chapter and Conference Paper
Optimal Design of an Orthogonal Generalized Parallel Manipulator Based on Swarm Particle Optimization Algorithm
Study of methods to design optimal Gough–Stewart parallel manipulator geometries meeting orthogonality is of high interest. The paper will design the Orthogonal Generalized Gough-Stewart Parallel Manipulator (...
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Article
SuperCNN: A Superpixelwise Convolutional Neural Network for Salient Object Detection
Existing computational models for salient object detection primarily rely on hand-crafted features, which are only able to capture low-level contrast information. In this paper, we learn the hierarchical contr...
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Chapter and Conference Paper
Saliency Detection with Flash and No-flash Image Pairs
In this paper, we propose a new saliency detection method using a pair of flash and no-flash images. Our approach is inspired by two observations. First, only the foreground objects are significantly brightene...
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Chapter and Conference Paper
RADAR: Rare Category Detection via Computation of Boundary Degree
Rare category detection is an open challenge for active learning. It can help select anomalies and then query their class labels with human experts. Compared with traditional anomaly detection, this task does ...
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Chapter and Conference Paper
Mining Spatial Co-location Patterns with Dynamic Neighborhood Constraint
Spatial co-location pattern mining is an interesting and important issue in spatial data mining area which discovers the subsets of features whose events are frequently located together in geographic space. Ho...
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Chapter and Conference Paper
A Levinson Predictor Based Compensatory Fuzzy Neural Network and Its Application in Crude Oil Distillation Process Modeling
Levinson predictor based Compensatory fuzzy neural networks (LPCFNN), which can be trained by a back-propagation learning algorithm, is proposed as a modeling technique for crude oil distillation processes. Th...
