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1,082 results on '"Kondo, Yuki"'

1. NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTI

Author

Kondo, Yuki, Miyata, Riku, Yasue, Fuma, Naruki, Taito, and Ukita, Norimichi

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In this paper, we analyze and discuss ShadowFormer in preparation for the NTIRE2023 Shadow Removal Challenge [1], implementing five key improvements: image alignment, the introduction of a perceptual quality loss function, the semi-automatic annotation for shadow detection, joint learning of shadow detection and removal, and the introduction of new data augmentation technique "CutShadow" for shadow removal. Our method achieved scores of 0.196 (3rd out of 19) in LPIPS and 7.44 (4th out of 19) in the Mean Opinion Score (MOS)., Comment: This version is a brief technical report submitted to the organizers, and there are still some points to be added; please wait for updates until May 2024. The code can be found here (https://github.com/Yuki-11/NTIRE2023_ShadowRemoval_IIM_TTI)

Published
2024

3. MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results

Author

Kondo, Yuki, Ukita, Norimichi, Yamaguchi, Takayuki, Hou, Hao-Yu, Shen, Mu-Yi, Hsu, Chia-Chi, Huang, En-Ming, Huang, Yu-Chen, Xia, Yu-Cheng, Wang, Chien-Yao, Lee, Chun-Yi, Huo, Da, Kastner, Marc A., Liu, Tingwei, Kawanishi, Yasutomo, Hirayama, Takatsugu, Komamizu, Takahiro, Ide, Ichiro, Shinya, Yosuke, Liu, Xinyao, Liang, Guang, and Yasui, Syusuke

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a challenging task due to the noisy, blurred, and less-informative image appearances of small objects. This paper proposes a new SOD dataset consisting of 39,070 images including 137,121 bird instances, which is called the Small Object Detection for Spotting Birds (SOD4SB) dataset. The detail of the challenge with the SOD4SB dataset is introduced in this paper. In total, 223 participants joined this challenge. This paper briefly introduces the award-winning methods. The dataset, the baseline code, and the website for evaluation on the public testset are publicly available., Comment: This paper is included in the proceedings of the 18th International Conference on Machine Vision Applications (MVA2023). It will be officially published at a later date. Project page : https://www.mva-org.jp/mva2023/challenge

Published
2023
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7. A non-canonical BZR/BES transcription factor regulates the development of haploid reproductive organs in Marchantia polymorpha

Author

Furuya, Tomoyuki, Saegusa, Natsumi, Yamaoka, Shohei, Tomoita, Yuki, Minamino, Naoki, Niwa, Masaki, Inoue, Keisuke, Yamamoto, Chiaki, Motomura, Kazuki, Shimadzu, Shunji, Nishihama, Ryuichi, Ishizaki, Kimitsune, Ueda, Takashi, Fukaki, Hidehiro, Kohchi, Takayuki, Fukuda, Hiroo, Kasahara, Masahiro, Araki, Takashi, and Kondo, Yuki

Published
2024
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8. Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images

Author

Kondo, Yuki and Ukita, Norimichi

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

This paper proposes crack segmentation augmented by super resolution (SR) with deep neural networks. In the proposed method, a SR network is jointly trained with a binary segmentation network in an end-to-end manner. This joint learning allows the SR network to be optimized for improving segmentation results. For realistic scenarios, the SR network is extended from non-blind to blind for processing a low-resolution image degraded by unknown blurs. The joint network is improved by our proposed two extra paths that further encourage the mutual optimization between SR and segmentation. Comparative experiments with State of The Art (SoTA) segmentation methods demonstrate the superiority of our joint learning, and various ablation studies prove the effects of our contributions., Comment: Accepted to IEEE Transactions on Instrumentation and Measurement (TIM) 2024. The project page is located at https://yuki-11.github.io/CSBSR-project-page/

Published
2023
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9. Kernelized Back-Projection Networks for Blind Super Resolution

Author

Yoshida, Tomoki, Kondo, Yuki, Maeda, Takahiro, Akita, Kazutoshi, and Ukita, Norimichi

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Since non-blind Super Resolution (SR) fails to super-resolve Low-Resolution (LR) images degraded by arbitrary degradations, SR with the degradation model is required. However, this paper reveals that non-blind SR that is trained simply with various blur kernels exhibits comparable performance as those with the degradation model for blind SR. This result motivates us to revisit high-performance non-blind SR and extend it to blind SR with blur kernels. This paper proposes two SR networks by integrating kernel estimation and SR branches in an iterative end-to-end manner. In the first model, which is called the Kernel Conditioned Back-Projection Network (KCBPN), the low-dimensional kernel representations are estimated for conditioning the SR branch. In our second model, the Kernelized BackProjection Network (KBPN), a raw kernel is estimated and directly employed for modeling the image degradation. The estimated kernel is employed not only for back-propagating its residual but also for forward-propagating the residual to iterative stages. This forward-propagation encourages these stages to learn a variety of different features in different stages by focusing on pixels with large residuals in each stage. Experimental results validate the effectiveness of our proposed networks for kernel estimation and SR. We will release the code for this work., Comment: The first two authors contributed equally to this work

Published
2023

13. Intracerebroventricular 2-hydroxypropyl-γ-cyclodextrin alleviates hepatic manifestations without distributing to the liver in a murine model of Niemann–Pick disease type C

Author

Yamada, Yusei, Ishitsuka, Yoichi, Fukaura-Nishizawa, Madoka, Kawata, Tatsuya, Ishii, Akira, Shirakawa, Aina, Sakai, Taichi, Tanaka, Mayuko, Kondo, Yuki, Takeo, Toru, Nakagata, Naomi, Motoyama, Keiichi, Higashi, Taishi, Arima, Hidetoshi, Seki, Takahiro, Kurauchi, Yuki, Katsuki, Hiroshi, Higaki, Katsumi, Ikeda, Ryuji, Matsuo, Muneaki, Era, Takumi, and Irie, Tetsumi

Published
2024
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19. Publisher Correction: A non-canonical BZR/BES transcription factor regulates the development of haploid reproductive organs in Marchantia polymorpha

Author

Furuya, Tomoyuki, Saegusa, Natsumi, Yamaoka, Shohei, Tomoita, Yuki, Minamino, Naoki, Niwa, Masaki, Inoue, Keisuke, Yamamoto, Chiaki, Motomura, Kazuki, Shimadzu, Shunji, Nishihama, Ryuichi, Ishizaki, Kimitsune, Ueda, Takashi, Fukaki, Hidehiro, Kohchi, Takayuki, Fukuda, Hiroo, Kasahara, Masahiro, Araki, Takashi, and Kondo, Yuki

Published
2024
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25. FootbSense: Soccer Moves Identification Using a Single IMU

Author

Kondo, Yuki, Ishii, Shun, Aoyagi, Hikari, Hossain, Tahera, Yokokubo, Anna, Lopez, Guillaume, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Ahad, Md Atiqur Rahman, editor, Inoue, Sozo, editor, Roggen, Daniel, editor, and Fujinami, Kaori, editor

Published
2022
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30. Home Location Estimation Using Weather Observation Data

Author

Kondo, Yuki, Hangyo, Masatsugu, Yoshida, Mitsuo, and Umemura, Kyoji

Subjects
Computer Science - Social and Information Networks, Computer Science - Information Retrieval
Abstract

We can extract useful information from social media data by adding the user's home location. However, since the user's home location is generally not publicly available, many researchers have been attempting to develop a more accurate home location estimation. In this study, we propose a method to estimate a Twitter user's home location by using weather observation data from AMeDAS. In our method, we first estimate the weather of the area posted by an estimation target user by using the tweet, Next, we check out the estimated weather against weather observation data, and narrow down the area posted by the user. Finally, the user's home location is estimated as which areas the user frequently posts from. In our experiments, the results indicate that our method functions effectively and also demonstrate that accuracy improves under certain conditions., Comment: The 2017 International Conference On Advanced Informatics: Concepts, Theory And Application (ICAICTA2017)

Published
2017
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32. Effects of Non‐Invasive Brain Stimulation for Degenerative Cerebellar Ataxia: A Systematic Review and Meta‐Analysis.

Author

Matsugi, Akiyoshi, Ohtsuka, Hiroyuki, Bando, Kyota, Kondo, Yuki, and Kikuchi, Yutaka

Subjects
TRANSCRANIAL direct current stimulation, TRANSCRANIAL magnetic stimulation, BRAIN stimulation, CEREBELLAR ataxia, ELECTRIC stimulation
Abstract

Background: This systematic review and meta‐analysis aimed to assess the effectiveness of non‐invasive brain stimulation (NIBS), including repetitive transcranial magnetic stimulation (rTMS) and transcranial electrical stimulation (tES), as a neurological intervention for degenerative cerebellar ataxia (DCA) based on preregistration (PROSPERO: CRD42023379192). Objective: We aimed to explore clinical outcomes and examine the parameters associated with NIBS efficacy in DCA patients. Methods: The PubMed, Cochrane Library, CHINAL, and PEDro databases were searched for relevant randomized controlled trials (RCTs). Data extraction, quality assessment, and heterogeneity analyses were conducted; the Grading, Recommendations, Assessment, Development, and Evaluation was used to assess the quality of evidence and a meta‐analysis was performed. Results: Seventeen RCTs that included 661 patients on the scale for assessment and rating of ataxia (SARA) and 606 patients on the International Cooperative Ataxia Rating Scale (ICARS) were included. These RCTs showed a serious risk of bias (RoB) and low certainty of evidence for both outcomes. NIBS significantly reduced SARA (MD = −2.49, [95% confidence interval: −3.34, −1.64]) and ICARS (−5.27 [−7.06, −3.47]); the subgroup analysis showed significant effects: rTMS and tES reduced both outcomes. However, there were no significant differences in the effects of rTMS and tES. Additional subgroup analysis indicated the impact of rTMS frequency and the total number of tES sessions on ataxia. Conclusion: Non‐invasive brain stimulation may reduce ataxia in DCA patients, but the estimated effect size may change in future studies because the RoB was serious and the certainty of evidence was low, and the heterogeneity was high. To establish evidence for selecting NIBS methods and parameters, continued high‐quality RCTs are required. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Multiple Roles of Brassinosteroid Signaling in Vascular Development.

Author

Furuya, Tomoyuki, Ohashi-Ito, Kyoko, and Kondo, Yuki

Abstract

Brassinosteroids (BRs) are plant steroid hormones that control growth and stress responses. In the context of development, BRs play diverse roles in controlling cell differentiation and tissue patterning. The vascular system, which is essential for transporting water and nutrients throughout the plant body, initially establishes a tissue pattern during primary development and then dramatically increases the number of vascular cells during secondary development. This complex developmental process is properly regulated by a network consisting of various hormonal signaling pathways. Genetic studies have revealed that mutants that are defective in BR biosynthesis or the BR signaling cascade exhibit a multifaceted vascular development phenotype. Furthermore, BR crosstalk with other plant hormones, including peptide hormones, coordinately regulates vascular development. Recently, the involvement of BR in vascular development, especially in xylem differentiation, has also been suggested in plant species other than the model plant Arabidopsis thaliana. In this review, we briefly summarize the recent findings on the roles of BR in primary and secondary vascular development in Arabidopsis and other species. [ABSTRACT FROM AUTHOR]

Published
2024
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35. TCTAP A-033 Impact of Postprocedural Percent Diameter Stenosis of 30 on Cumulative 3-Year Cardiovascular Outcomes After Elective Drug-Coated Balloon Angioplasty to de Novo Coronary Stenosis

Author

Tamura, Yohei, primary, Ishikawa, Tetsuya, additional, Yamada, Kota, additional, Ukaj, Tomoaki, additional, Kondo, Yuki, additional, Shimura, Masatoshi, additional, Takeyama, Taro, additional, Mori, Kahoko, additional, Miona, Arai, additional, Usami, Jun, additional, Mera, Yoshihiro, additional, Hisauchi, Itaru, additional, Nakahara, Shiro, additional, Itabashi, Yuji, additional, Kobayash, Sayuki, additional, Sakai, Yoshihiko, additional, and Taguchi, Isao, additional

Published
2024
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36. Cardiovascular Outcomes after Paclitaxel-Coated Balloon Angioplasty versus Drug-Eluting Stent Placement for Acute Coronary Syndrome: A Systematic Review and Meta-Analysis

Author

Kondo, Yuki, primary, Ishikawa, Tetsuya, additional, Shimura, Masatoshi, additional, Yamada, Kota, additional, Ukaji, Tomoaki, additional, Tamura, Yohei, additional, Arai, Miona, additional, Mori, Kahoko, additional, Takeyama, Taro, additional, Hori, Yuichi, additional, Hisauchi, Itaru, additional, Nakahara, Shiro, additional, Itabashi, Yuji, additional, Kobayashi, Sayuki, additional, and Taguchi, Isao, additional

Published
2024
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37. Floor Projection Type Serious Game System for Lower Limb Rehabilitation Using Image Processing

Author

Hemmi, Kazuo, Kondo, Yuki, Tobina, Takuro, Nishimura, Takeshi, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Boonyopakorn, Pongsarun, editor, Meesad, Phayung, editor, Sodsee, Sunantha, editor, and Unger, Herwig, editor

Published
2020
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46. Efficient breeding system of infertile Niemann–Pick disease type C model mice by in vitro fertilization and embryo transfer.

Author

Kuroshima, Serina, Nakao, Satohiro, Horikoshi, Yuka, Ito, Kotono, Ishii, Akira, Shirakawa, Aina, Kondo, Yuki, Irie, Tetsumi, Ishitsuka, Yoichi, Nakagata, Naomi, and Takeo, Toru

Subjects
FERTILIZATION in vitro, EMBRYO transfer, IN vitro studies, GENETIC mutation, TRANSLATIONAL research
Abstract

Copyright of Laboratory Animals is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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