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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 82  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2024-03-14
Kanagawa Kanagawa Institute of Technology
(Primary: On-site, Secondary: Online)
Analytical Development Method for Object Detection Dataset
Akihiro Suzuki, Naoki Yamaguchi, Mizuho Shimoda, Hakaru Tamukoh (KYUTECH)
(To be available after the conference date) [more]
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Illust Protection against Generative AI using DnCNN
Yukiya Fukuda, Daiju Kanaoka (Kyutech), Hakaru Tamukoh (Kyutech/Research Center for Neuromorphic AI Hardware) PRMU2023-71
(To be available after the conference date) [more] PRMU2023-71
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2023-11-17
Kumamoto Civic Auditorium Sears Home Yume Hall
(Primary: On-site, Secondary: Online)
High-Level Synthesis Implementation of a Reservoir Computing based on Chaotic Boltzmann Machine -- Improving scalability and efficiency of sparse matrix multiplication through a dedicated data compression in external memory --
Shigeki Matsumoto, Yuki Ichikawa, Nobuki Kajihara (IVIS), Hakaru Tamukoh (kyutech) VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78
This paper reports on an FPGA implementation of Chaotic Boltzmann Machine Reservoir Computing (CBM-RC). The reservoir wi... [more] VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78
SIS, ITE-BCT 2023-10-12
(Primary: On-site, Secondary: Online)
A knowledge acquisition system with a large language model and a hippocampus model for home service robots
Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Osamu Nomura, Takashi Morie (Kyutech) SIS2023-18
 [more] SIS2023-18
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
A Study of Few-shot NeRF by Pseudo-Feature Vectors Evaluation for Unknown Viewpoints
Daiju Kanaoka (Kyutech/RIKEN), Motoharu Sonogashira (RIKEN), Hakaru Tamukoh (Kyutech/Neumorph Center), Yasutomo Kawanishi (RIKEN) PRMU2022-101 IBISML2022-108
Neural Radiance Fields (NeRF) is a powerful method for novel view synthesis.
However, NeRF requires a large number of ... [more]
PRMU2022-101 IBISML2022-108
MBE, NC 2022-12-03
Osaka Osaka Electro-Communication University Action Generation for Home Service Robots by Hippocampus Model with Memory Accumulation and Recall Functions
Akinobu Mizutani, Ichiro Kawashima, Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Osamu Nomura, Takashi Morie (Kyutech) MBE2022-37 NC2022-59
This paper proposes a brain-inspired artificial intelligence model inspired by brain functions related to the representa... [more] MBE2022-37 NC2022-59
SIS, IPSJ-AVM 2022-06-09
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
Hardware Implementation of Annealing Machine using Chaotic Boltzmann Machine
Kanta Yoshioka (Kyutech), Ichiro Kawashima, Hakaru Tamukoh (Kyutech/Neumorph Center) SIS2022-1
With the end of Moore's law, annealing quantum computers that can solve various combinatorial optimization problems are ... [more] SIS2022-1
SIS, IPSJ-AVM 2022-06-10
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
An embedded-oriented sound classification system using reservoir computing
Yuichiro Tanaka, Issei Uchino (Kyutech), Kazunobu Ohkuri (Sony), Hakaru Tamukoh (Kyutech) SIS2022-9
Although deep neural networks (DNNs) have achieved state-of-the-art results in sound classification tasks in recent year... [more] SIS2022-9
SIS, IPSJ-AVM 2022-06-10
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
[Tutorial Lecture] How to build a High-Precision and Efficient Robot Vision: Dataset Generation and Hardware Implementation for Deep Learning
Hakaru Tamukoh (Kyutech) SIS2022-10
This tutorial lecture explains a construction method for high-precision and efficient robot vision that includes a semi-... [more] SIS2022-10
SIS 2021-12-03
Online Online Open Set Recognition Focusing on Multidimensional Feature Space
Daiju Kanaoka (Kyutech), Yuichiro Tanaka, Hakaru Tamukoh (Kyutech/Kyushu Institute of Technology/Research Center for Neuro) SIS2021-23
In general, image recognition assumes that all classes used in testing are known. Therefore, when an unknown class is in... [more] SIS2021-23
SIS, ITE-BCT 2021-10-08
Online Online A Hardware-Oriented Algorithm for Person Recognition Processing using GMM-MRCoHOG features
Ryogo Takemoto, Yuya Nagamine, Kazuki Yoshihiro (Kyutech), Masatoshi Shibata, Hideo Yamada (AISIN), Shuichi Enokida, Hakaru Tamukoh (Kyutech) SIS2021-19
In this research, we focus on Gaussian Mixture Model-MultiResolution Co-occurrence Histograms of Oriented Gradients (GMM... [more] SIS2021-19
SIS 2021-03-04
Online Online Hardware Implementation of Object Recognition Neural Network using Depth Images
Yuma Yoshimoto (Kyutech/JSPS Research Fellow), Hakaru Tamukoh (Kyutech/Research Center for Neuromorphic AI Hardware) SIS2020-47
In this study, we propose an object recognition neural network using depth images, implemented on an FPGA for service ro... [more] SIS2020-47
SIS 2020-12-01
Online Online A Proposal of Convolutional Neural Networks detecting and removing noise for Random-Valued Impulse Noise Denoising
Yukiya Fukuda (Kytutech), Ryosuke Kubota (NITUC), Hakaru Tamukoh (Kyutech) SIS2020-34
When digital images are transmitted, Random-Valued Impulse Noise (RVIN) may cause image degradation. RVIN is known as no... [more] SIS2020-34
SIS, ITE-BCT 2020-10-01
Online Online An FPGA Implementation of Human Recognition using MRCoHOG Features
Yuya Nagamine, Kazuki Yoshihiro (Kyutech), Masatoshi Shibata, Hideo Yamada (EQUOS RESEARCH), Shuichi Enokida, Hakaru Tamukoh (Kyutech) SIS2020-16
In this research, we design a hardware of human recognition using Multiresolution Co-occurrence Histograms of Oriented G... [more] SIS2020-16
SIS, IPSJ-AVM, ITE-3DMT [detail] 2020-06-03
Online Online A Color Image Quantization Method Taking Account of Chromatic Visual Impression
Yukiya Fukuda (Kyutech), Ryosuke Kubota (NIT,UC), Hakaru Tamukoh (Kyutech) SIS2020-3
 [more] SIS2020-3
SIS 2020-03-05
Saitama Saitama Hall
(Cancelled but technical report was issued)
Deep Neural Networks for Object Detection and Classification on Domestic Service Robots
Yutaro Ishida, Hakaru Tamukoh (Kyutech) SIS2019-45
We propose a semi-automatic data set generation method, and a system integration method of robot operating system (ROS) ... [more] SIS2019-45
CAS, MSS, IPSJ-AL [detail] 2019-11-28
Fukuoka   [Invited Talk] Circuits and Systems for Brain-Inspired Artificial Intelligence on Home Service Robots
Hakaru Tamukoh (Kyutech) CAS2019-54 MSS2019-33
 [more] CAS2019-54 MSS2019-33
SIS, IPSJ-AVM, ITE-3DMT [detail] 2019-06-13
Nagasaki Fukue Culture Center A random number generation method for hardware implemented neural networks
Sansei Hori, Hakaru Tamukoh (Kyushu Inst. of Tech.) SIS2019-1
This study proposes a hardware oriented random number generation method to implement a stochastically neural networks su... [more] SIS2019-1
SIS, IPSJ-AVM, ITE-3DMT [detail] 2019-06-13
Nagasaki Fukue Culture Center Autoencoders having surplus neurons in a hidden layer
Akihiro Suzuki, Hakaru Tamukoh (KYUTECH) SIS2019-3
Unknown data is not compatible with a supervised training. This study employ autoencoders (AEs) to detect unknwon data. ... [more] SIS2019-3
SIS 2019-03-06
Tokyo Tokyo Univ. Science, Katsushika Campus Evaluation of an FPGA Implementation of MRCoHOG Feature using High-Level Synthesis
Yuya Nagamine, Kazuki Yoshihiro, Hakaru Tamukoh (Kyutech) SIS2018-37
In this report, we evaluate a Field Programmable Gate Array (FPGA) implementation of Multiresolution Co-occurrence Histo... [more] SIS2018-37
 Results 1 - 20 of 82  /  [Next]  
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