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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-16
11:15
Hokkaido Hokkaido Univ. High quality image generation in high dynamic scenes from dual-ISO sensor readout
Chihiro Go, Chien Chiencheng, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) ITS2017-82 IE2017-114
 [more] ITS2017-82 IE2017-114
pp.251-256
SIS, IPSJ-AVM 2017-10-12
13:00
Nara Todaiji Culture Center Effect of Contrast Enhancement in Tone Mapping Operation for HDR images
Ayumi Sada, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2017-21
This paper proposes a new tone mapping operation for HDR images with
biased intensity distribution. In conventional to... [more]
SIS2017-21
pp.1-6
 Results 1 - 20 of 27  /  [Next]  
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