フォロー
Yusuke Hirota
Yusuke Hirota
確認したメール アドレス: is.ids.osaka-u.ac.jp - ホームページ
タイトル
引用先
引用先
Quantifying societal bias amplification in image captioning
Y Hirota, Y Nakashima, N Garcia
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
712022
Gender and racial bias in visual question answering datasets
Y Hirota, Y Nakashima, N Garcia
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
542022
Uncurated image-text datasets: Shedding light on demographic bias
N Garcia, Y Hirota, Y Wu, Y Nakashima
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
462023
Model-agnostic gender debiased image captioning
Y Hirota, Y Nakashima, N Garcia
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
172023
Would Deep Generative Models Amplify Bias in Future Models?
T Chen, Y Hirota, M Otani, N Garcia, Y Nakashima
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
82024
Visual question answering with textual representations for images
Y Hirota, N Garcia, M Otani, C Chu, Y Nakashima, I Taniguchi, T Onoye
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
82021
A picture may be worth a hundred words for visual question answering
Y Hirota, N Garcia, M Otani, C Chu, Y Nakashima, I Taniguchi, T Onoye
arXiv preprint arXiv:2106.13445, 2021
52021
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment
Y Hirota, R Hachiuma, CHH Yang, Y Nakashima
EMNLP 2024 (Main), 2024
32024
Parallelization of local path planning for high reliable autonomous drones
Y Hirota, I Taniguchi, T Onoye
2020 International SoC Design Conference (ISOCC), 67-68, 2020
22020
Societal Bias in Image Captioning: Identifying and Measuring Bias Amplification
Y HIROTA, Y NAKASHIMA, N GARCIA
IEICE Transactions on Information and Systems, 2024EDP7116, 2025
2025
Mitigating Gender Bias Amplification in Image Captioning
Y HIROTA, Y NAKASHIMA, N GARCIA
IEICE Transactions on Information and Systems, 2024EDP7164, 2025
2025
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP
Y Hirota, MH Chen, CY Wang, Y Nakashima, YCF Wang, R Hachiuma
arXiv preprint arXiv:2408.10202, 2024
2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
Y Hirota, JTA Andrews, D Zhao, O Papakyriakopoulos, A Modas, ...
EMNLP 2024 (Main), 2024
2024
Societal Bias in Vision-and-Language Datasets and Models
Y NAKASHIMA, Y HIROTA, Y WU, N GARCIA
NIHON GAZO GAKKAISHI (Journal of the Imaging Society of Japan) 62 (6), 599-609, 2023
2023
How Far Can We Go with Scene Descriptions for Visual Question Answering?
Y Hirota, N Garcia, M Otani, C Chu, Y Nakashima, I Taniguchi, T Onoye
2020
Supplementary Material for Model-Agnostic Gender Debiased Image Captioning
Y Hirota, Y Nakashima, N Garcia
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias Supplementary Material
N Garcia, Y Hirota, Y Wu, Y Nakashima
young 1 (349), 8.6-16.7, 0
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