24 Result(s)
within
English
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
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
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
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
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
SLAM and Navigation in Indoor Environments
In this paper, we propose a system for wheeled robot SLAM and navigation in indoor environments. An omni-directional camera and a laser range finder are the sensors to extract the point features and the line f...
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Chapter and Conference Paper
Object-Layout-Aware Image Retrieval for Personal Album Management
This demo shows a real-time object-layout-aware image retrieval system for personal album management. The query of the system is image’s object layout and the system retrieves images based on the layout simila...
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Chapter and Conference Paper
Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches
This paper proposes a displacement template structure for improving descriptor based face recognition approaches. With this template structure, a face is represented by a template consisting of a set of piled ...
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Chapter and Conference Paper
A Theoretical Analysis of Camera Response Functions in Image Deblurring
Motion deblurring is a long standing problem in computer vision and image processing. In most previous approaches, the blurred image is modeled as the convolution of a latent intensity image with a blur kernel...
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Chapter and Conference Paper
An Anthropomorphic Polyvinyl Alcohol Triple-Modality Brain Phantom Based on Colin27
We propose a method for the creation of an anatomically and mechanically realistic brain phantom from polyvinyl alcohol cryogel (PVA-C) for validation of image processing methods for segmentation, reconstructi...
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Chapter and Conference Paper
Improved Two-Level Model Averaging Techniques in Drosophila Brain Modeling
Two-level model averaging techniques have been proposed to construct the 3D reference template for the Drosophila brain. The surface-based reference template is suitable for integration of experimental data fr...
