Hi, I'm Noa.
I am an Assistant Professor at IDS, Osaka University.
Feb. 2023: Two papers on the topic of bias in vision and language accepted at CVPR 2023.
Aug. 2022: I am participating in a panel about DALL-E and art history at the Digital Art History Summer School 2022.
Aug. 2022: A preprint about knowledge transfer in vision and language published in arxiv.
Aug. 2022: Our team won the ICPR 2022 ODOR challenge for olfactory object recognition in paintings.
Aug. 2022: I am visiting the Visual Recognition Group at CTU in Prague for a week, where I will present our work on societal bias.
Jul. 2022: I will serve as area chair for BMVC 2022.
Jul. 2022: I am co-organizing a tutorial at DH 2022.
Apr. 2022: I will be a keynote speaker at the Computer Vision for Fashion, Art, and Design workshop at CVPR 2022.
Apr. 2022: A paper accepted at ACM FAccT 2022.
Mar. 2022: I am co-organizing 2 workshops at ECCV 2022: VISART and the Instance-Level Recognition workshop.
Mar. 2022: A paper accepted at CVPR 2022 as an oral.
Mar. 2022: I've been awarded a 4-year JSPS Kakenhi grant.
Oct. 2021: A paper accepted at BMVC 2021.
Oct. 2021: A paper accepted at NeurIPS 2021 Datasets and Benchmarks track.
July 2021: A paper accepted at ICCV 2021.
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Noa Garcia , Yusuke Hirota, Yankun Wu, Yuta Nakashima (accepted at CVPR 2023)
Model-Agnostic Gender Debiased Image Captioning
Yusuke Hirota, Yuta Nakashima, Noa Garcia (accepted at CVPR 2023)
Yusuke Hirota, Yuta Nakashima, Noa Garcia (FAccT 2022)
Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura (BMVC 2021)
Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura (WACV 2020)
Yusuke Hirota: Ph.D. student (previously master), since 2020.
Tianwei Chen: Ph.D. student (previously internship), since 2020.
Yankun Wu: Ph.D. student (previously internship), since 2021.
Selina Khan: visiting student, since 2023.
Nikolai Huckle: visiting student (2020).
Zechen Bai: remote visiting student (2020 - 2021).
Tianran Wu: master student (2020 - 2022).