37 Result(s)
within
English
Image Processing and Computer Vision
**n-Wen Wang
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Chapter and Conference Paper
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Object detection is a hot topic with various applications in computer vision, e.g., image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of ...
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Chapter and Conference Paper
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results
Single-object tracking, also known as visual tracking, on the drone platform attracts much attention recently with various applications in computer vision, such as filming and surveillance. However, the lack o...
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Chapter and Conference Paper
Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks
Crop disease leaf image segmentation is an important and challenging step, because the disease leaf image and corresponding lesions are often complex, various, and variant, and the segmenting results directly ...
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Chapter and Conference Paper
CSAR Moving Target Detection with Logarithm Background Subtraction Based on Optimal Azimuth Aperture Analysis
This paper focuses on moving target detection in single-channel circular-SAR (CSAR). The logarithm background subtraction algorithm described in this paper utilizes the overlapped subaperture logarithm image s...
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Chapter and Conference Paper
Indoor Navigation Based on a Gait Recognition and Counting Scheme
GPS satellite positioning is currently a system used by people for navigation. As urban buildings become larger and their internal usages more diverse, the internal structure of the buildings turns into comple...
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Chapter and Conference Paper
Finger Vein Image Registration Based on Genetic Algorithm
Finger vein recognition technology is an emerging biometric identification technology that utilizes the distribution structure of venous blood vessels to achieve identification. The vein recognition process is...
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Chapter and Conference Paper
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an input image with a magnificatio...
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Article
On large appearance change in visual tracking
This paper concerns on overcoming the challenges caused by drastic appearance change in visual tracking, especially the long-term appearance variation due to occlusion or large object deformation. We aim to bu...
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Chapter and Conference Paper
Rehabilitate Sustain from Earth to Sea: A Design Study on Interplaying Biosocial Sculpture In-Between the Intertidal Zone
Obey the traditional idea of “Tian-Fu Di-Zai” (The Heaven Overspreads and Earth Sustains All, 天覆地載) in Chinese culture, this monography focuses on “Rise above both Self and Matters” (物我相忘) of Taoist by “Rehabi...
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Chapter and Conference Paper
Brain Tumor Segmentation Using Dual-Path Attention U-Net in 3D MRI Images
Semantic segmentation plays an essential role in brain tumor diagnosis and treatment planning. Yet, manual segmentation is a time-consuming task. That fact leads to hire the Deep Neural Networks to segment bra...
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Article
Just Recognizable Distortion for Machine Vision Oriented Image and Video Coding
Machine visual intelligence has exploded in recent years. Large-scale, high-quality image and video datasets significantly empower learning-based machine vision models, especially deep-learning models. However...
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Chapter and Conference Paper
Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN
Measuring the existence of coronary artery plaques and stenoses is a standard way of evaluating the risk of cardiovascular diseases. Coronary Computed Tomography Angiography (CCTA) is one of the most common as...
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Chapter and Conference Paper
Predicting Neurostimulation Responsiveness with Dynamic Brain Network Measures
Transcranial direct current stimulation (tDCS) shows great promise in enhancing neurocognitive abilities. However, the neurostimulation responsiveness varied hugely. Our previous work demonstrates that people ...
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Article
An approach based on 1D fully convolutional network for continuous sign language recognition and labeling
Sign language is the most important communication method for people with speech impairments, and automatic sign language recognition helps them communicate with normal people without barriers. For portability ...
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Chapter and Conference Paper
An UNet-Based Brain Tumor Segmentation Framework via Optimal Mass Transportation Pre-processing
This article aims to build a framework for MRI images of brain tumor segmentation using the deep learning method. For this purpose, we develop a novel 2-Phase UNet-based OMT framework to increase the ratio of ...
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Article
Semantic-Aware Visual Decomposition for Image Coding
In this paper, we propose a novel image coding framework with semantic-aware visual decomposition towards extremely low bitrate compression. In particular, an input image is analyzed into a semantic map as str...
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Article
Fully automatic identification of post-treatment infarct lesions after endovascular therapy based on non-contrast computed tomography
Non-contrast computed tomography (NCCT) of the brain is critical to patients with acute ischemic stroke who receive thrombolysis and thrombectomy. It can help identify reperfusion-related hemorrhage, edema whi...
