| 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 | 53 | 2022 |
| 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 | 39 | 2022 |
| 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 | 28 | 2023 |
| Model-agnostic gender debiased image captioning Y Hirota, Y Nakashima, N Garcia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| 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 | 6 | 2021 |
| 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 | 5 | 2021 |
| 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 | 3 | 2024 |
| 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 | 2 | 2020 |
| Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes Y Hirota, JTA Andrew, D Zhao, O Papakyriakopoulos, A Modas, ... arXiv preprint arXiv:2407.03623, 2024 | | 2024 |
| From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment Y Hirota, R Hachiuma, CHH Yang, Y Nakashima arXiv preprint arXiv:2406.13912, 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 | | |
Yuta NakashimaInstitute for Datability Science, Osaka UniversityVerified email at ids.osaka-u.ac.jp
