130 Result(s)
within
Conference Paper
**ya Sato
Computer Science
Artificial Intelligence
Image Processing and Computer Vision
Pattern Recognition
-
Chapter and Conference Paper
Framework for Measuring the Similarity of Visual and Semantic Structures in Sign Languages
Sign languages are visual languages used by deaf and hard of hearing communities worldwide. As sign languages have been manually designed in an optimal visual and semantic aspect, these two representations are...
-
Chapter and Conference Paper
Deep Automatic Control of Learning Rates for GANs
In this paper, we propose a method for automatically controlling the learning rate of Generative Adversarial Networks (GANs) so as to stabilize the training of GANs. In recent years, GAN has been successful in...
-
Chapter and Conference Paper
4D-Foot: A Fully Automated Pipeline of Four-Dimensional Analysis of the Foot Bones Using Bi-plane X-Ray Video and CT
We aim to elucidate the mechanism of the foot by automated measurement of its multiple bone movement using 2D-3D registration of bi-plane x-ray video and a stationary 3D CT. Conventional analyses allowed track...
-
Chapter and Conference Paper
Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks
This paper introduces our methodology to estimate sidewalk accessibilities from wheelchair behavior via a triaxial accelerometer in a smartphone installed under a wheelchair seat. Our method recognizes sidewal...
-
Chapter and Conference Paper
Imaging Scattering Characteristics of Tissue in Transmitted Microscopy
Scattering property plays a very important role in optical imaging and diagnostic applications, such as analysis of cancerous process and diagnosis of dysplasia or cancer. The existing methods focused on remov...
-
Chapter and Conference Paper
BUNET: Blind Medical Image Segmentation Based on Secure UNET
The strict security requirements placed on medical records by various privacy regulations become major obstacles in the age of big data. To ensure efficient machine learning as a service schemes while protecti...
-
Chapter and Conference Paper
Infra-Slow Electroencephalogram Power Associates with Reaction Time in Simple Discrimination Tasks
Infra-slow (<0.1 Hz) electroencephalography (EEG) activity is recently thought to be an important clue for the elucidation of the default mode network (DMN), one of large-scale brain networks, which is known t...
-
Chapter and Conference Paper
SEPHLA: Challenges and Opportunities Within Environment - Personal Health Archives
It is well known that environment and human health have a close relationship. Many researchers have pointed out the high association between the condition of an environment (e.g. pollutant concentrations, weat...
-
Chapter and Conference Paper
Estimation of Student Classroom Attention Using a Novel Measure of Head Motion Coherence
Video-based head motion analysis has often been used to estimate student attention in the classroom. However, individual head motions variously depend on semantic events in the classroom (e.g., lecture slides)...
-
Chapter and Conference Paper
Registration-Based Patient-Specific Musculoskeletal Modeling Using High Fidelity Cadaveric Template Model
We propose a method to construct patient-specific musculoskeletal model using a template obtained from a high fidelity cadaver images. Musculoskeletal simulation has been traditionally performed using a string-ty...
-
Chapter and Conference Paper
Predicting Gaze in Egocentric Video by Learning Task-Dependent Attention Transition
We present a new computational model for gaze prediction in egocentric videos by exploring patterns in temporal shift of gaze fixations (attention transition) that are dependent on egocentric manipulation task...
-
Chapter and Conference Paper
Measuring Refractive Properties of Human Vision by Showing 4D Light Fields
In this paper, we propose a novel method for measuring refractive properties of human vision. Our method generates a special 4D light field and present it to human observers, so that the observers will see dif...
-
Chapter and Conference Paper
Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images
We propose an optimization method for estimating patient-specific muscle fiber arrangement from clinical CT. Our approach first computes the structure tensor field to estimate local orientation, then a geometr...
-
Chapter and Conference Paper
Separation of Transmitted Light and Scattering Components in Transmitted Microscopy
In transmitted light microscopy, a specimen tends to be observed as unclear. This is caused by a phenomenon that an image sensor captures the sum of these scattered light rays traveled from different paths due...
-
Chapter and Conference Paper
Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels)
In this paper, we focus on semi-supervised learning for biomedical image segmentation, so as to take advantage of huge unlabelled data. We observe that there usually exist some homogeneous connected areas of l...
-
Chapter and Conference Paper
Showing Different Images to Observers by Using Difference in Retinal Impulse Response
In this paper, we propose a novel method for displaying different images to individual observers by using the difference of temporal response characteristics of these observers. The temporal response character...
-
Chapter and Conference Paper
Downtown Osaka Scene Text Dataset
This paper presents a new scene text dataset named Downtown Osaka Scene Text Dataset (in short, DOST dataset). The dataset consists of sequential images captured in shop** streets in downtown Osaka with an o...
-
Chapter and Conference Paper
Improved Chaotic Multidirectional Associative Memory
In this paper, we propose an Improved Chaotic Multidirectional Associative Memory (ICMAM). The proposed model is based on the Chaotic Multidirectional Associative Memory (CMAM) which can realize one-to-many as...
-
Chapter and Conference Paper
Vascular Registration in Photoacoustic Imaging by Low-Rank Alignment via Foreground, Background and Complement Decomposition
Photoacoustic (PA) imaging has been gaining attention as a new imaging modality that can non-invasively visualize blood vessels inside biological tissues. In the process of imaging large body parts through mul...
-
Chapter and Conference Paper
Image Segmentation Using Graph Cuts Based on Maximum-Flow Neural Network
Graph Cuts has became increasingly useful methods for the image segmentation. In Graph Cuts, given images are replaced by grid graphs, and the image segmentation process is performed using the minimum cut (min...
