30 Result(s)
within
Takayoshi Yamashita
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Chapter and Conference Paper
Expert’s Gaze-Based Prediction Model for Assessing the Quality of Figure Skating Jumps
Researchers in computer vision are develo** a method for Action Quality Assessment (AQA) that evaluates the quality of human actions in videos rather than identifying them. Specifically for figure skating, t...
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Article
Open AccessA case of chronic total occlusion in popliteal artery recanalized by double snare piercing technique
Although majority of cases with chronic total occlusion (CTO) in femoro-popliteal lesion were treated with antegrade approach only, some lesions require alternative approach due to its complexity. Bi-direction...
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Chapter and Conference Paper
Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher
Visual explanation is an approach for visualizing the grounds of judgment by deep learning, and it is possible to visually interpret the grounds of a judgment for a certain input by visualizing an attention ma...
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Chapter and Conference Paper
Detecting Data Drift with KS Test Using Attention Map
Data drift is a change in the distribution of data during machine learning model training and during operation. This occurs regardless of the type of data and adversely affects model performance. However, this...
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Chapter and Conference Paper
Visual Explanation Generation Based on Lambda Attention Branch Networks
Explanation generation for transformers enhances accountability for their predictions. However, there have been few studies on generating visual explanations for the transformers that use multidimensional cont...
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Chapter and Conference Paper
Few-shot Adaptive Object Detection with Cross-Domain CutMix
In object detection, data amount and cost are a trade-off, and collecting a large amount of data in a specific domain is labor-intensive. Therefore, existing large-scale datasets are used for pre-training. How...
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Article
Impact of cerebrovascular comorbidity on prognosis in Japanese patients undergoing PCI: 1-year data from Japanese multicenter registry (KICS)
Cardiovascular and cerebrovascular diseases are considered the principal cause of morbidity and mortality worldwide; the effect of stroke-induced cardiac manifestations is well recognized; however, not enough ...
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Article
East Asian variant aldehyde dehydrogenase type 2 genotype exacerbates ischemia/reperfusion injury with ST-elevation myocardial infarction in men: possible sex differences
Mitochondrial aldehyde dehydrogenase 2 (ALDH2) detoxifies toxic aldehydes generated during ischemia/reperfusion (I/R) injury in ST-elevation myocardial infarction (STEMI). The deficient variant ALDH2 genotype (AL...
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Chapter and Conference Paper
1D Self-Attention Network for Point Cloud Semantic Segmentation Using Omnidirectional LiDAR
Understanding environment around the vehicle is essential for automated driving technology. For this purpose, an omnidirectional LiDAR is used for obtaining surrounding information and point cloud based semant...
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Chapter and Conference Paper
Super-Class Mixup for Adjusting Training Data
Mixup is one of data augmentation methods for image recognition task, which generate data by mixing two images. Mixup randomly samples two images from training data without considering the similarity of these ...
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Chapter and Conference Paper
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion
Although recent learning-based calibration methods can predict extrinsic and intrinsic camera parameters from a single image, the accuracy of these methods is degraded in fisheye images. This degradation is ca...
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Chapter and Conference Paper
Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification
Ensemble of networks with bidirectional knowledge distillation does not significantly improve on the performance of ensemble of networks without bidirectional knowledge distillation. We think that this is beca...
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Article
Temporal trends in coronary intervention strategies and the impact on one-year clinical events: data from a Japanese multi-center real-world cohort study
Percutaneous coronary intervention (PCI) has significantly advanced over the last 40 years, but it is not clear whether there have been any changes in prognosis in recent years. The Kumamoto Intervention Confe...
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Chapter and Conference Paper
Knowledge Transfer Graph for Deep Collaborative Learning
Knowledge transfer among multiple networks using their outputs or intermediate activations have evolved through manual design from a simple teacher-student approach to a bidirectional cohort one. The major com...
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Article
Open AccessImaging-guided PCI for event suppression in Japanese acute coronary syndrome patients: community-based observational cohort registry
Although there is accumulating evidence for the usefulness of imaging-guided percutaneous coronary intervention (PCI), there are few studies for acute coronary syndrome (ACS), and the impact of the frequency o...
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Chapter and Conference Paper
Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition
The static relationship between joints and the dynamic importance of joints leads to high accuracy in skeletal action recognition. Nevertheless, existing methods define the graph structure beforehand by skelet...
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Chapter and Conference Paper
Coarse-to-Fine Deep Orientation Estimator for Local Image Matching
Convolutional neural networks (CNNs) have become a mainstream method for keypoint matching in addition to image recognition, object detection, and semantic segmentation. Learned Invariant Feature Transform (LI...
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Chapter
Team C2M: Two Cooperative Robots for Picking and Stowing in Amazon Picking Challenge 2016
Automatization for the picking and placing of a variety of objects stored on shelves is a challenging problem for robotic picking systems in distribution warehouses. Here, object recognition using image proces...
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Chapter and Conference Paper
Privacy-Aware Face Recognition with Lensless Multi-pinhole Camera
Face recognition and privacy protection are closely related. A high-quality facial image is required to achieve a high accuracy in face recognition; however, this undermines the privacy of the person being pho...
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Chapter and Conference Paper
Recognition of Listener’s Nodding by LSTM Based on Movement of Facial Keypoints and Speech Intonation
Communication between humans and robots is crucial to achieve successful cooperation in real-life scenarios. The robot must understand not only linguistic expressions, but also non-linguistic expressions such ...
