Hi, I'm Noa.
I am an Associate Professor at Osaka University.
latest updates
Sep. 2024: I gave a talk at ELLIS Alicante.
Sep. 2024: I've been promoted to associate professor! My new position is at the Institute for Advanced Co-Creation Studies, but I'll still be working at the ISLab. Big big thanks to everyone who has supported me so far. Specially Prof. Yuta Nakashima, Prof. Hajime Nagahara, and my wonderful students and collaborators.
Aug. 2024: I will give an invited talk at The Dark Side of Generative AIs and Beyond workshop at ECCV 2024.
Jul. 2024: I gave an invited talk at the UCLA Coalas Lab.
Jul. 2024: A paper about gender bias in Stable Diffusion accepted at AIES 2024.
Jun. 2024: A paper about the social issues of image generation models accepted at AI and Ethics.
Jun. 2024: I will give an invited talk at the NICE workshop at CVPR 2024.
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.
students
current students
Yusuke Hirota (since 2020), Tianwei Chen (since 2020), Yankun Wu (since 2021), Patrick Ramos (since Oct. 2023), Ryan Ramos (since Oct. 2023), Tong Xiang (since Apr. 2024), Rawisara Lohanimit (since June 2024).
alumni
Nikolai Huckle (2020), Zechen Bai (2020 - 2021), Tianran Wu (2020 - 2022), Selina Khan (2023), Warren Leu (Oct. 2023 - Jan. 2024).
selected publications
Stable Diffusion Exposed: Gender Bias from Prompt to Image
Yankun Wu, Yuta Nakashima, Noa Garcia.
Amelia Katirai, Noa Garcia, Kazuki Ide, Yuta Nakashima, Atsuo Kishimoto.
Would Deep Generative Models Amplify Bias in Future Models?
Tianwei Chen, Yusuke Hirota, Mayu Otani, Noa Garcia, Yuta Nakashima.
Auditing Image-based NSFW Classifiers for Content Filtering
Warren Leu, Yuta Nakashima, Noa Garcia.
Can multiple-choice questions really be useful in detecting the abilities of LLMs?
Wangyue Li, Liangzhi Li, Tong Xiang, Xiao Liu, Wei Deng, Noa Garcia.
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.
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Noa Garcia , Yusuke Hirota, Yankun Wu, Yuta Nakashima.
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis
Yankun Wu, Yuta Nakashima, Noa Garcia.
Quantifying Societal Bias Amplification in Image Captioning
Yusuke Hirota, Yuta Nakashima, Noa Garcia.
Gender and Racial Bias in Visual Question Answering Datasets
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.
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions
Noa Garcia and Yuta Nakashima.
A Dataset and Baselines for Visual Question Answering on Art
Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura.
KnowIT VQA: Answering Knowledge-Based Questions about Videos
Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima.
BERT representations for Video Question Answering
Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura.
Context-Aware Embeddings for Automatic Art Analysis
Noa Garcia, Benjamin Renoust, Yuta Nakashima.
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval
Noa Garcia and George Vogiatzis.
