47 Result(s)
within
English
Artificial Intelligence
Computer Graphics
Image Processing and Computer Vision
Yi**ang Chen
Chapter
Conference Paper
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Chapter and Conference Paper
Deep Residual Attention Network for Spectral Image Super-Resolution
Spectral imaging sensors often suffer from low spatial resolution, as there exists an essential tradeoff between the spectral and spatial resolutions that can be simultaneously achieved, especially when the te...
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Chapter and Conference Paper
Non-local NetVLAD Encoding for Video Classification
This paper describes our solution for the 2 \(^\text {nd}\) YouTube-8M video understanding challenge organiz...
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Chapter and Conference Paper
Universal Framework of Seals Erasing with Generative Adversarial Network
In last decades, methods based on deep learning has dominated many application fields, such as image inpainting, image super high-resolution and image denoising. In the Optical Character Recognition (OCR), we ...
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Chapter and Conference Paper
Can 3D Pose Be Learned from 2D Projections Alone?
3D pose estimation from a single image is a challenging task in computer vision. We present a weakly supervised approach to estimate 3D pose points, given only 2D pose landmarks. Our method does not require co...
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Chapter and Conference Paper
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results
In this paper, we describe the Perceptual Image Restoration and Manipulation (PIRM) workshop challenge on spectral image super-resolution, motivate its structure and conclude on results obtained by the partici...
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Chapter and Conference Paper
“Factual” or “Emotional”: Stylized Image Captioning with Adaptive Learning and Attention
Generating stylized captions for an image is an emerging topic in image captioning. Given an image as input, it requires the system to generate a caption that has a specific style (e.g., humorous, romantic, po...
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Chapter and Conference Paper
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks
This work shows that it is possible to fool/attack recent state-of-the-art face detectors which are based on the single-stage networks. Successfully attacking face detectors could be a serious malware vulnerab...
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Chapter and Conference Paper
Preprocessing and Segmentation Algorithm for Multiple Overlapped Fiber Image
In the fiber image recognition system, pinpoint segmentation is critical for fiber feature extraction and further identification. In the case of fiber image taken by the optical microscope, the overlapped type...
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Chapter and Conference Paper
An Altitude Based Landslide and Debris Flow Detection Method for a Single Mountain Remote Sensing Image
The altitude information of single remote sensing image may aid in detecting the natural disaster, such as landslide or debris flow. Accordingly, in this paper, an approach based on altitude is proposed to det...
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Chapter and Conference Paper
Geographic Atrophy Segmentation for SD-OCT Images by MFO Algorithm and Affinity Diffusion
Age-related macular degeneration (AMD) is a common cause of vision loss among the elderly in developed countries. Geographic atrophy (GA) appears in advanced stages of non-exudative AMD. In this paper, we pres...
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Chapter and Conference Paper
Reconstruction of 3D Lumvar Vertebra from Two X-ray Images Based on 2D/3D Registration
Constructing a 3D bone from two X-ray images is a challenging task, especially when we would like to build a complicated structure like spine. This paper presents a novel method for reconstructing lumbar verte...
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Chapter and Conference Paper
Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI
Cardiac cine MRI with 3D isotropic resolution is challenging as it requires efficient data acquisition and motion management. It is proposed to use a 2D balanced SSFP (steady-state free precession) sequence ra...
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Chapter and Conference Paper
A Stroke Width Based Parameter-Free Document Binarization Method
This paper presents a parameter-free document binarization method based on text characteristics. For a given stroke width, the text and background regions in binarized object regions are estimated with morphol...
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Chapter and Conference Paper
Matrix Factorization Approach Based on Temporal Hierarchical Dirichlet Process
User-based collaborative filtering algorithms generally rely on the users’ stationary preferences, yet user preferences in real world are seldom stationary. User preference patterns may have the time-evolving ...
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Chapter and Conference Paper
Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning
Cerebral small vessel disease (SVD) is a common cause of ageing-associated physical and cognitive impairment. Identifying SVD is important for both clinical and research purposes but is usually dependent on ra...
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Chapter and Conference Paper
Ranking Web Page with Path Trust Knowledge Graph
How to find and discover useful information from Internet is a real challenge in information retrieval (IR) and search engines (SE). In this paper, we propose and construct Path Trust Knowledge Graph PTKG model f...
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Chapter and Conference Paper
Multi-modality Gesture Detection and Recognition with Un-supervision, Randomization and Discrimination
We describe in this paper our gesture detection and recognition system for the 2014 ChaLearn Looking at People (Track 3: Gesture Recognition) organized by ChaLearn in conjunction with the ECCV 2014 conference....
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Chapter and Conference Paper
Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow
Background modeling and subtraction is a fundamental research topic in computer vision. Pixel-level background model uses a Gaussian mixture model (GMM) or kernel density estimation to represent the distributi...
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Chapter and Conference Paper
Towards Unified Object Detection and Semantic Segmentation
Object detection and semantic segmentation are two strongly correlated tasks, yet typically solved separately or sequentially with substantially different techniques. Motivated by the complementary effect obse...
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Chapter and Conference Paper
3-D Coronary Vessel Extraction Using a Novel Minimum Path Based Region Growing
This work presents a novel approach termed minimum path based region growing (MP-RG) to extract 3-D coronary vessels. Using the joint convexity information of orientated 1D vessel profiles to build the potenti...
