10 Result(s)
within
English
Computer Science
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
Pattern Recognition
**u Tao
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Chapter and Conference Paper
On Quantifying Local Geometric Structures of Fiber Tracts
In diffusion MRI, fiber tracts, represented by densely distributed 3D curves, can be estimated from diffusion weighted images using tractography. The spatial geometric structure of white matter fiber tracts is...
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Chapter and Conference Paper
One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation
The model cascade strategy that runs a series of deep models sequentially for coarse-to-fine medical image segmentation is becoming increasingly popular, as it effectively relieves the class imbalance problem....
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Chapter and Conference Paper
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer’s Disease Diagnosis
Multi-modal neuroimages (e.g., MRI and PET) have been widely used for diagnosis of brain diseases such as Alzheimer’s disease (AD) by providing complementary information. However, in practice, it is unavoidabl...
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Chapter and Conference Paper
GPU Accelerated Image Matching with Cascade Hashing
SIFT feature is widely used in image matching. However, matching massive images is time consuming because SIFT feature is a high dimensional vector. In this paper, we proposed a GPU accelerated image matching ...
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Chapter and Conference Paper
Crowd Counting Based on MMCNN in Still Images
Accurately estimate the crowd count from a still image with arbitrary perspective and arbitrary crowd density is one of the difficulties of crowd analysis in surveillance videos. Conventional methods are scene...
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Chapter and Conference Paper
Robust Visual Tracking Using Oriented Gradient Convolution Networks
Convolutional networks have been successfully applied to visual tracking to extract some useful feature. However, deep networks are time-consuming to offline training and usually extract the feature from raw p...
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Chapter and Conference Paper
Relevance and Coherence Based Image Caption
The attention-based image caption framework has been widely explored in recent years. However, most techniques generate next word conditioned on previous words and current visual contents, while the relationsh...
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Chapter and Conference Paper
Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features
Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in computer vision. This is likely due to the difficulty in matching two objects with unknown viewpoint and pose. This pap...
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Chapter and Conference Paper
Scene Segmentation for Behaviour Correlation
This paper presents a novel framework for detecting abnormal pedestrian and vehicle behaviour by modelling cross-correlation among different co-occurring objects both locally and globally in a given scene. We ...
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Chapter and Conference Paper
Discriminative Locality Alignment
Fisher’s linear discriminant analysis (LDA), one of the most popular dimensionality reduction algorithms for classification, has three particular problems: it fails to find the nonlinear structure hidden in th...
