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Load balancing for multi-projector rendering systems
TLDR
This paper describes a sort-first parallel rendering system for a scalable display wall system built with a network of PCs, graphics accelerators, and portable projectors. Expand
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Building and Using A Scalable Display Wall System
TLDR
We describe our approach to research challenges in several specific research areas, including seamless tiling, parallel rendering, parallel data visualization, parallel MPEG decoding, layered multiresolution video input, multichannel immersive sound, user interfaces, application tools, and content creation. Expand
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3D CNN Based Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Functional and Structural MRI
TLDR
In this paper, we develop a deep learning-based ADHD classification method via 3-D convolutional neural networks applied to MRI scans. Expand
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Pairwise domain adaptation module for CNN-based 2-D/3-D registration
TLDR
We propose a pairwise domain adaptation (PDA) module to adapt the model trained on source domain to target domain (i.e., clinical data) by learning domain invariant features with only a few paired real and synthetic data. Expand
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Mid-level deep Food Part mining for food image recognition
TLDR
We propose a novel framework to better utilise DCNN features for food image recognition by jointly exploring the advantages of both the mid-level-based approaches and the DCNN approaches by designing a clustering-based FP label mining scheme to generate part-level labels from unlabelled data. Expand
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Learning CNNs with Pairwise Domain Adaption for Real-Time 6DoF Ultrasound Transducer Detection and Tracking from X-Ray Images
TLDR
We present a fully automatic and real-time CNN-based system that achieves highly accurate and robust 6DoF pose estimation and tracking of Transesophageal Echocardiography transducer from 2D X-ray images, a key enabler for integrating ultrasound and fluoroscopic image guidance in hybrid operating rooms for catheter-based procedures. Expand
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A Computer-Aided Decision Support System for Detection and Localization of Cutaneous Vasculature in Dermoscopy Images Via Deep Feature Learning
TLDR
We propose a data-driven feature learning framework based on stacked sparse auto-encoders (SSAE) for comprehensive detection of cutaneous vessels. Expand
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Superpixel-based image recognition for food images
TLDR
We propose a superpixel-based food image recognition framework to mine mid-level superpixel food parts-to-class similarity. Expand
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Deep learning based automatic diagnoses of attention deficit hyperactive disorder
TLDR
In this paper, we aim to develop a deep learning based automatic Attention Deficit Hyperactive Disorder (ADHD) diagnosis algorithm using resting state functional magnetic resonance imaging (rs-fMRI) scans. Expand
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Noise-Robust Wagon Text Extraction Based on Defect-Restore Generative Adversarial Network
TLDR
We develop a two-stage wagon text extraction system based on the combination of transfer learning and defect-restore generative adversarial network (GAN). Expand
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