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Deep Sensing for Compressive Video Acquisition
A camera captures multidimensional information of the real world by convolving it into two dimensions using a sensing matrix. The …
吉田道隆
,
Akihiko Torii
,
Masatoshi Okutomi
,
Rin Ichiro Taniguchi
,
長原一
,
Yasushi Yagi
引用
URL
Depth Quality Improvement with a 607 MHz Time-Compressive Computational Pseudo-dToF CMOS Image Sensor
In this paper, we present a prototype pseudo-direct time-of-flight (ToF) CMOS image sensor, achieving high distance accuracy, …
Anh Ngoc Pham
,
Ibrahim Thoriq
,
Keita Yasutomi
,
Shoji Kawahito
,
長原一
,
Keiichiro Yagi Kagawa
引用
URL
Development of a vertex finding algorithm using Recurrent Neural Network
Deep learning is a rapidly-evolving technology with the possibility to significantly improve the physics reach of collider experiments. …
Kiichi Goto
,
Taikan Suehara
,
Tamaki Yoshioka
,
Masakazu Kurata
,
長原一
,
中島悠太
,
武村紀子
,
Masako Iwasaki
引用
Human-Imperceptible Identification With Learnable Lensless Imaging
Lensless imaging protects visual privacy by capturing heavily blurred images that are imperceptible for humans to recognize the subject …
Thuong Nguyen Canh
,
Trung Thanh Ngo
,
長原一
引用
URL
Test test test
Test User
引用
Information Extraction from Public Meeting Articles
Public meeting articles are the key to understanding the history of public opinion and public sphere in Australia. Information …
Felix Giovanni Virgo
,
Chenhui Chu
,
Takaya Ogawa
,
Koji Tanaka
,
Kazuki Ashihara
,
中島悠太
,
武村紀子
,
長原一
,
Takao Fujikawa
引用
Anonymous identity sampling and reusable synthesis for sensitive face camouflage
An increasing amount of face images are being captured, shared, or applied in various applications. These images usually contain lots …
Zhenzhong Kuang
,
Longbin Teng
,
Xingchi He
,
Jiajun Ding
,
中島悠太
,
Noboru Babaguchi
引用
DOI
URL
Corpus Construction for Historical Newspapers: A Case Study on Public Meeting Corpus Construction Using OCR Error Correction
Koji Tanaka
,
Chenhui Chu
,
梶原智之
,
中島悠太
,
武村紀子
,
長原一
,
Takao Fujikawa
引用
Depthwise spatio-temporal STFT convolutional neural networks for human action recognition
Conventional 3D convolutional neural networks (CNNs) are computationally expensive, memory intensive, prone to overfitting, and most …
Sudhakar Kumawat
,
Manisha Verma
,
中島悠太
,
Shanmuganathan Raman
引用
DOI
URL
Human--Machine Interfaces Based on Bioelectric Signals: A Narrative Review with a Novel System Proposal
Bioelectric signals such as electromyogram (EMG) and electroencephalogram (EEG) reflect human internal states and intended actions, and …
早志英朗
,
Toshio Tsuji
引用
URL
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