Hi, I'm Noa.
I am an Assistant Professor at IDS, Osaka University.
news
Apr. 2024: I will be co-organizing three workshops at ECCV 2024. See you in Milano!
Apr. 2024: A regular paper and a reproducibility paper accepted at ICMR 2024.
Apr. 2024: 3 new Ph.D. students! 🎉 Patrick and Ryan have become Ph.D. students, and Tong has just joined our team. Thank you all for choosing to be part of our lab! 😊
Apr. 2024: I have been elected to serve on the Board of Directors of ACE Japon, a non-profit organization dedicated to fostering scientific collaborations between Spain and Japan.
Mar. 2024: A paper on auditing NSFW classifiers for content filtering accepted at FAccT 2024.
Feb. 2024: A paper on bias transfer from synthetic images accepted at CVPR 2024.
Feb. 2024: A paper on LLM evaluation accepted at LREC-COLING 2024.
Jan. 2024: I am co-organizing the MUWS 2024 workshop at ICMR 2024.
selected publications
Would Deep Generative Models Amplify Bias in Future Models?
Tianwei Chen, Yusuke Hirota, Mayu Otani, Noa Garcia, Yuta Nakashima.
CVPR 2024.
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia.
NeurIPS 2023 D&B track. Code
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Noa Garcia , Yusuke Hirota, Yankun Wu, Yuta Nakashima.
CVPR 2023, Highlight. Data
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis
Yankun Wu, Yuta Nakashima, Noa Garcia.
ICMR 2023.
Gender and Racial Bias in Visual Question Answering Datasets
Yusuke Hirota, Yuta Nakashima, Noa Garcia.
FAccT 2022.
Quantifying Societal Bias Amplification in Image Captioning
Yusuke Hirota, Yuta Nakashima, Noa Garcia.
The MET Dataset: Instance-level Recognition for Artworks
Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han, Sarah Ibrahimi, Nanne Van Noord, Giorgos Tolias.
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
Zechen Bai, Yuta Nakashima, Noa Garcia.
Transferring Domain-Agnostic Knowledge in Video Question Answering
Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura.
BMVC 2021. Website Data Video
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions
Noa Garcia and Yuta Nakashima.
KnowIT VQA: Answering Knowledge-Based Questions about Videos
Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima.
AAAI 2020. Website Data Code
BERT representations for Video Question Answering
Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura.
WACV 2020.
Context-Aware Embeddings for Automatic Art Analysis
Noa Garcia, Benjamin Renoust, Yuta Nakashima.
ICMR 2019. Code
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval
Noa Garcia and George Vogiatzis.
students
current students
Yusuke Hirota: Ph.D. student (previously master student), since 2020.
Tianwei Chen: Ph.D. student (previously internship student), since 2020.
Yankun Wu: Ph.D. student (previously internship student), since 2021.
Patrick Ramos: Ph.D. student (previously internship student), since Oct. 2023.
Ryan Ramos: Ph.D. student (previously internship student), since Oct. 2023.
Tong Xiang: Ph.D. student, since April 2024.
alumni
Nikolai Huckle: visiting student (2020).
Zechen Bai: remote visiting student (2020 - 2021).
Tianran Wu: master student (2020 - 2022).
Selina Khan: visiting student (2023).
Warren Leu: internship student (Oct. 2023 - Jan. 2024).