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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Data Augmentation by Synthesised Voice for Deep Learning-based A Cappella Separation Kyoka Kazama (TMU), Yuma Kinoshita (Tokai Univ.), Natsuki Ueno, Nobutaka Ono (TMU) |
(To be available after the conference date) [more] | |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Image reconstruction with a diffusion model for robust image classification against unknown degradation Teruaki Akazawa (Tokyo Metro. Univ.), Yuma Kinoshita (Tokai Univ.), Hitoshi Kiya (Tokyo Metro. Univ.)  EA2022-83 SIP2022-127 SP2022-47 |
This paper presents an image reconstruction method with a diffusion model for robust image classification against image ... [more] | EA2022-83 SIP2022-127 SP2022-47 pp.49-54 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-19 10:40 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
N-white balancing: white balance adjustment for adjusting multi-illuminant scenes Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) SIP2022-5 BioX2022-5 IE2022-5 MI2022-5 |
This paper presents a novel white balance adjustment for multi-illuminant scenes, called ``N-white balancing.'' N is the... [more] | SIP2022-5 BioX2022-5 IE2022-5 MI2022-5 pp.25-30 |
| EMM | 2022-03-07 16:35 |
Online | (Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
Access Control of Vision Transformer models without performance degradation Ryota Iijima, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-104 |
In this paper, we propose a novel access control method to protect trained models from unauthorized access. Conventional... [more] | EMM2021-104 pp.70-75 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 13:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Multi-channel missing signals recovery using autoencoder for acoustic scene classification Yuki Shiroma, Yuma Kinoshita (Tokyo Metro. Univ.), Keisuke Imoto (Doshisha Univ.), Sayaka Shiota, Nobutaka Ono, Hitoshi Kiya (Tokyo Metro. Univ.) EA2021-86 SIP2021-113 SP2021-71 |
[more] | EA2021-86 SIP2021-113 SP2021-71 pp.140-145 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-19 15:00 |
Online | Online | Investigation on fine-tuning with image classification networks for deep neural network-based musical instrument classification Yuki Shiroma, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (TMU) SP2021-17 |
In this paper, we investigate abilities of channel conversion methods for fine-tuning with image classification networks... [more] | SP2021-17 pp.75-79 |
| SIS, ITE-BCT | 2020-10-01 10:50 |
Online | Online | Target-color correction method based on multi-color balance Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2020-12 |
In this paper, we propose a target-color correction method for reducing color changes caused by the different of lightin... [more] | SIS2020-12 pp.11-16 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2020-06-03 13:00 |
Online | Online | Luminance-Independent Hue Image Generation Method Based on CIELAB Color Space Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2020-1 |
In this paper, we propose luminance-independent hue-image generation method based on the CIELAB color space, from RAW im... [more] | SIS2020-1 pp.1-6 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 14:00 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
An Image Transformation Network for Privacy-Preserving Deep Neural Networks Hiroki Ito, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) ITS2019-37 IE2019-75 |
We propose an image transformation network to generate visually-protected images for privacy-preserving deep neural netw... [more] | ITS2019-37 IE2019-75 pp.195-200 |
| SIS | 2019-12-12 14:55 |
Okayama | Okayama University of Science | Machine learning algorithms with quantized images and their influence Takayuki Osakabe, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro.Univ.) SIS2019-27 |
Recently, appling quantized images to machine learning algorithms is expected to enhance robustness against adversarial... [more] |
SIS2019-27 pp.23-28 |
| ITE-BCT, SIS | 2019-10-24 11:30 |
Fukui | Fukui International Activities Plaza | Image enhancement-based data augmentation for improving deep learning in image classification problem Weihang Zhang, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2019-11 |
In this paper, we propose a novel data augmentation method based on image enhancement. In DNN-based image classification... [more] | SIS2019-11 pp.1-4 |
| ITE-BCT, SIS | 2019-10-24 12:10 |
Fukui | Fukui International Activities Plaza | Performance evaluation of high-quality image generation methods using multi-exposure images Kouki Seo, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2019-13 |
[more] | SIS2019-13 pp.11-16 |
| EA, SIP, SP | 2019-03-14 10:00 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | Hue Correction Scheme Based on CIELAB Color Space Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) EA2018-99 SIP2018-105 SP2018-61 |
In this paper, we propose a novel color correction scheme based on the CIELAB color space. Image processing methods cons... [more] | EA2018-99 SIP2018-105 SP2018-61 pp.1-6 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-19 14:15 |
Hokkaido | Hokkaido Univ. | A hue-preserving tone mapping scheme Kouki Seo, Artit Visavakicharoen, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) ITS2018-66 IE2018-87 |
[more] | ITS2018-66 IE2018-87 pp.79-84 |
| SIS, ITE-BCT | 2018-10-25 11:30 |
Kyoto | Kyoto University Clock Tower Centennial Hall | A Multi-Exposure Image Fusion Scheme with Exposure Compensation for Spatially Varying Exposures Images. Chihiro Go, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2018-14 |
[more] | SIS2018-14 pp.25-30 |
| IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] | 2018-09-27 13:25 |
Oita | Beppu Int'l Convention Ctr. aka B-CON Plaza | SVM Computing Considering Dimension Reduction in the Encrypted Domain Ayana Kawamura, Takahiro Maekawa, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metropolitan Univ.) LOIS2018-11 IE2018-31 EMM2018-50 |
In this paper, we propose a SVM computing scheme with EtC images, and evaluate the effectiveness of the proposed scheme,... [more] | LOIS2018-11 IE2018-31 EMM2018-50 pp.7-12 |
| IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] | 2018-09-27 14:50 |
Oita | Beppu Int'l Convention Ctr. aka B-CON Plaza | An Inverse Tone Mapping Operation Using CNN with LDR Based Learning Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) LOIS2018-14 IE2018-34 EMM2018-53 |
This paper proposes an inverse tone mapping operation using CNN with LDR based learning. In inverse tone mapping with CN... [more] | LOIS2018-14 IE2018-34 EMM2018-53 pp.23-28 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2018-06-07 10:00 |
Hokkaido | Jozankei View Hotel | SVM Computing Using EtC Images in the Encrypted Domain Ayana Kawamura, Takahiro Maekawa, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2018-1 |
In this paper, we propose a SVM computing scheme with EtC images, and evaluate the effectiveness of the proposed scheme,... [more] | SIS2018-1 pp.1-6 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 15:10 |
Okinawa | A Multi-Exposure Image Fusion Scheme based on Automatic Exposure Compensation Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) EA2017-136 SIP2017-145 SP2017-119 |
This paper proposes a novel luminance adjustment method based on automatic exposure compensation for multi-exposure imag... [more] | EA2017-136 SIP2017-145 SP2017-119 pp.191-196 |
|
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 11:00 |
Hokkaido | Hokkaido Univ. | Image contrast enhancement based on noise aware shadow-up function Chiencheng Chien, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) ITS2017-81 IE2017-113 |
This paper proposes a novel image contrast enhancement method based on a noise aware shadow-up function. Images taken b... [more] |
ITS2017-81 IE2017-113 pp.245-250 |
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