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GARCIA DOCAMPO NOA
GARCIA DOCAMPO NOA
GARCIA DOCAMPO NOA
GARCIA DOCAMPO NOA
Institute for Advanced Co-Creation Studies, Associate Professor

keyword computer vision,machine learning,natural language processing,artificial inteligence

Research History 4

  1. 2024/10 - Present
    D3 Center, The University of Osaka

  2. 2024/09 - Present
    Institute for Advanced Co-Creation Studies, The University of Osaka

  3. 2021/05 - 2024/08
    Osaka University Institute for Datability Science

  4. 2018/10 - 2021/04
    Osaka University Institute for Datability Science

Education 2

  1. Aston University Ph.D. Computer Science

    2015/10 - 2019/03

  2. Universitat Politecnica Catalunya Telecommunication Engineering

    2006/09 - 2012/06

Papers 52

  1. No Annotations for Object Detection in Art Through Stable Diffusion

    Patrick Ramos, Nicolas Gonthier, Selina Khan, Yuta Nakashima, Noa Garcia

    2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) p. 6228-6237 2025/02/26 Research paper (international conference proceedings)

    Publisher: IEEE
  2. Stable Diffusion Exposed: Gender Bias from Prompt to Image

    Yankun Wu, Yuta Nakashima, Noa Garcia

    Proceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society p. 1648-1659 2025/02 Research paper (international conference proceedings)

  3. Situating the social issues of image generation models in the model life cycle: a sociotechnical approach

    Amelia Katirai, Noa Garcia, Kazuki Ide, Yuta Nakashima, Atsuo Kishimoto

    AI and Ethics 2024/07/24 Research paper (scientific journal)

    Publisher: Springer Science and Business Media LLC
  4. Auditing Image-based NSFW Classifiers for Content Filtering.

    Warren Leu, Yuta Nakashima, Noa Garcia

    FAccT p. 1163-1173 2024 Research paper (international conference proceedings)

  5. Would Deep Generative Models Amplify Bias in Future Models?

    Tianwei Chen, Yusuke Hirota, Mayu Otani, Noa Garcia, Yuta Nakashima

    CVPR p. 10833-10843 2024 Research paper (international conference proceedings)

    Publisher: IEEE
  6. Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?

    Wangyue Li, Liangzhi Li 0001, Tong Xiang, Xiao Liu, Wei Deng, Noa Garcia

    LREC/COLING p. 2819-2834 2024 Research paper (international conference proceedings)

  7. CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care.

    Tong Xiang, Liangzhi Li 0004, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia

    NeurIPS 2023 Research paper (international conference proceedings)

  8. Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis.

    Yankun Wu, Yuta Nakashima, Noa Garcia

    Proceedings of the 2023 ACM International Conference on Multimedia Retrieval(ICMR) p. 199-208 2023 Research paper (international conference proceedings)

    Publisher: ACM
  9. Model-Agnostic Gender Debiased Image Captioning.

    Yusuke Hirota, Yuta Nakashima, Noa Garcia

    CVPR p. 15191-15200 2023 Research paper (international conference proceedings)

  10. Uncurated Image-Text Datasets: Shedding Light on Demographic Bias.

    Noa Garcia, Yusuke Hirota, Yankun Wu, Yuta Nakashima

    CVPR p. 6957-6966 2023 Research paper (international conference proceedings)

  11. Gender and Racial Bias in Visual Question Answering Datasets.

    Yusuke Hirota, Yuta Nakashima, Noa Garcia

    FAccT p. 1280-1292 2022 Research paper (international conference proceedings)

  12. Quantifying Societal Bias Amplification in Image Captioning.

    Yusuke Hirota, Yuta Nakashima, Noa Garcia

    CVPR p. 13440-13449 2022 Research paper (international conference proceedings)

  13. The Met Dataset: Instance-level Recognition for Artworks.

    Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han, Sarah Ibrahimi, Nanne van Noord, Giorgos Tolias

    Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021 2021 Research paper (international conference proceedings)

  14. Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation.

    Zechen Bai, Yuta Nakashima, Noa Garcia

    2021 IEEE/CVF International Conference on Computer Vision(ICCV) p. 5402-5412 2021 Research paper (international conference proceedings)

    Publisher: IEEE
  15. BERT Representations for Video Question Answering.

    Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura

    WACV p. 1545-1554 2020 Research paper (international conference proceedings)

    Publisher: IEEE
  16. Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions.

    Noa Garcia, Yuta Nakashima

    European Conference on Computer Vision p. 581-598 2020 Research paper (international conference proceedings)

    Publisher: Springer
  17. Demographic Influences on Contemporary Art with Unsupervised Style Embeddings.

    Nikolai Huckle, Noa Garcia, Yuta Nakashima

    European Conference on Computer Vision Workshops p. 126-142 2020 Research paper (international conference proceedings)

    Publisher: Springer
  18. KnowIT VQA: Answering Knowledge-Based Questions about Videos.

    Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima

    AAAI p. 10826-10834 2020 Research paper (international conference proceedings)

    Publisher: AAAI Press
  19. Context-Aware Embeddings for Automatic Art Analysis.

    Noa Garcia, Benjamin Renoust, Yuta Nakashima

    Internation Conference on Multimedia Retrieval p. 25-33 2019 Research paper (international conference proceedings)

    Publisher: ACM
  20. Learning non-metric visual similarity for image retrieval.

    Noa Garcia, George Vogiatzis

    Image Vis. Comput. Vol. 82 p. 18-25 2019 Research paper (scientific journal)

  21. How to Read Paintings: Semantic Art Understanding with Multi-modal Retrieval.

    Noa Garcia, George Vogiatzis

    European Conference on Computer Vision Workshops p. 676-691 2018 Research paper (international conference proceedings)

    Publisher: Springer
  22. GNNBoost: boosting artwork classification with graph embeddings

    Cheikh Brahim El Vaigh, Noa Garcia, Benjamin Renoust, Chenhui Chu, Yuta Nakashima, Yiming Qian, Hajime Nagahara

    Multimedia Tools and Applications 2025/02/25 Research paper (scientific journal)

    Publisher: Springer Science and Business Media LLC
  23. Revealing Gender Bias from Prompt to Image in Stable Diffusion

    Yankun Wu, Yuta Nakashima, Noa Garcia

    Journal of Imaging Vol. 11 No. 2 p. 35-35 2025/01/24 Research paper (scientific journal)

    Publisher: MDPI AG
  24. Mitigating Gender Bias Amplification in Image Captioning

    Yusuke HIROTA, Yuta NAKASHIMA, Noa GARCIA

    IEICE Transactions on Information and Systems 2025 Research paper (scientific journal)

    Publisher: Institute of Electronics, Information and Communications Engineers (IEICE)
  25. Societal Bias in Image Captioning: Identifying and Measuring Bias Amplification

    Yusuke HIROTA, Yuta NAKASHIMA, Noa GARCIA

    IEICE Transactions on Information and Systems 2025 Research paper (scientific journal)

    Publisher: Institute of Electronics, Information and Communications Engineers (IEICE)
  26. Learning More May Not Be Better: Knowledge Transferability in Vision-and-Language Tasks

    Tianwei Chen, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Hajime Nagahara

    Journal of Imaging Vol. 10 No. 12 p. 300-300 2024/11/22 Research paper (scientific journal)

    Publisher: MDPI AG
  27. A Picture May Be Worth a Hundred Words for Visual Question Answering

    Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima

    Electronics 2024/10/31 Research paper (scientific journal)

  28. GOYA: Leveraging Generative Art for Content-Style Disentanglement.

    Yankun Wu, Yuta Nakashima, Noa Garcia

    J. Imaging Vol. 10 No. 7 p. 156-156 2024/07 Research paper (scientific journal)

  29. Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation.

    Tianwei Chen, Noa Garcia, Liangzhi Li 0001, Yuta Nakashima

    J. Imaging Vol. 10 No. 6 p. 136-136 2024/06 Research paper (scientific journal)

  30. Reproducibility Companion Paper: Stable Diffusion for Content-Style Disentanglement in Art Analysis

    Yankun Wu, Yuta Nakashima, Noa Garcia, Sheng Li, Zhaoyang Zeng

    Proceedings of the 2024 International Conference on Multimedia Retrieval 2024/05/30 Research paper (international conference proceedings)

    Publisher: ACM
  31. MUWS 2024: The 3rd International Workshop on Multimodal Human Understanding for the Web and Social Media.

    Marc A. Kastner 0001, Gullal S. Cheema, Sherzod Hakimov, Noa Garcia

    ICMR p. 1342-1344 2024 Research paper (international conference proceedings)

  32. Gender Bias Evaluation in Text-to-image Generation: A Survey.

    Yankun Wu, Yuta Nakashima, Noa Garcia

    CoRR Vol. abs/2408.11358 2024 Research paper (scientific journal)

  33. Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language Models.

    Xiao Liu, Liangzhi Li 0001, Tong Xiang, Fuying Ye, Lu Wei, Wangyue Li, Noa Garcia

    CoRR Vol. abs/2407.15399 2024 Research paper (scientific journal)

  34. Retrieving Emotional Stimuli in Artworks.

    Tianwei Chen, Noa Garcia, Liangzhi Li 0001, Yuta Nakashima

    ICMR p. 515-523 2024 Research paper (international conference proceedings)

  35. Societal Bias in Vision-and-Language Datasets and Models

    Yuta NAKASHIMA, Yusuke HIROTA, Yankun WU, Noa GARCIA

    Journal of the Imaging Society of Japan Vol. 62 No. 6 2023/12 Research paper (scientific journal)

  36. MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media.

    Gullal S. Cheema, Sherzod Hakimov, Marc A. Kastner 0001, Noa Garcia

    CIKM p. 5263-5266 2023 Research paper (international conference proceedings)

  37. The semantic typology of visually grounded paraphrases

    Chenhui Chu, Vinicius Oliveira, Felix Giovanni Virgo, Mayu Otani, Noa Garcia, Yuta Nakashima

    Computer Vision and Image Understanding Vol. 215 p. 103333-103333 2022/01 Research paper (scientific journal)

    Publisher: Elsevier BV
  38. Visual Question Answering with Textual Representations for Images

    Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Ittetsu Taniguchi, Takao Onoye

    2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) 2021/10 Research paper (international conference proceedings)

    Publisher: IEEE
  39. GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph.

    Cheikh Brahim El Vaigh, Noa Garcia, Benjamin Renoust, Chenhui Chu, Yuta Nakashima, Hajime Nagahara

    ICMR '21: International Conference on Multimedia Retrieval(ICMR) p. 92-100 2021 Research paper (international conference proceedings)

    Publisher: ACM
  40. Transferring Domain-Agnostic Knowledge in Video Question Answering.

    Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura

    BMVC p. 301-301 2021 Research paper (international conference proceedings)

  41. Attending Self-Attention: A Case Study of Visually Grounded Supervision in Vision-and-Language Transformers.

    Jules Samaran, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima

    Proceedings of the ACL-IJCNLP 2021 Student Research Workshop p. 81-86 2021 Research paper (international conference proceedings)

    Publisher: Association for Computational Linguistics
  42. A Picture May Be Worth a Hundred Words for Visual Question Answering.

    Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Ittetsu Taniguchi, Takao Onoye

    CoRR Vol. abs/2106.13445 2021 Research paper (scientific journal)

  43. GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph.

    Cheikh Brahim El Vaigh, Noa Garcia, Benjamin Renoust, Chenhui Chu, Yuta Nakashima, Hajime Nagahara

    Internation Conference Multimedia Retrieval Vol. abs/2105.11852 2021 Research paper (international conference proceedings)

  44. The Laughing Machine: Predicting Humor in Video.

    Yuta Kayatani, Zekun Yang, Mayu Otani, Noa Garcia, Chenhui Chu, Yuta Nakashima, Haruo Takemura

    WACV p. 2072-2081 2021 Research paper (international conference proceedings)

    Publisher: IEEE
  45. A comparative study of language transformers for video question answering.

    Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura

    Neurocomputing Vol. 445 p. 121-133 2021 Research paper (scientific journal)

  46. Cross-Lingual Visual Grounding.

    Wenjian Dong, Mayu Otani, Noa Garcia, Yuta Nakashima, Chenhui Chu

    IEEE Access Vol. 9 p. 349-358 2021 Research paper (scientific journal)

  47. 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

    European Conference on Computer Vision Workshops p. 92-108 2020 Research paper (international conference proceedings)

    Publisher: Springer
  48. ContextNet: representation and exploration for painting classification and retrieval in context.

    Noa Garcia, Benjamin Renoust, Yuta Nakashima

    Int. J. Multim. Inf. Retr. Vol. 9 No. 1 p. 17-30 2020 Research paper (scientific journal)

  49. Historical and Modern Features for Buddha Statue Classification.

    Benjamin Renoust, Matheus Oliveira Franca, Jacob Chan, Noa Garcia, Van Le, Ayaka Uesaka, Yuta Nakashima, Hajime Nagahara, Jueren Wang, Yutaka Fujioka

    SUMAC workshops p. 23-30 2019 Research paper (international conference proceedings)

    Publisher: ACM
  50. Temporal Aggregation of Visual Features for Large-Scale Image-to-Video Retrieval.

    Noa Garcia

    Internation Conference on Multimedia Retrieval p. 489-492 2018 Research paper (international conference proceedings)

    Publisher: ACM
  51. Asymmetric Spatio-Temporal Embeddings for Large-Scale Image-to-Video Retrieval.

    Noa Garcia, George Vogiatzis

    British Machine Vision Conference p. 206-206 2018 Research paper (international conference proceedings)

    Publisher: BMVA Press
  52. Dress Like a Star: Retrieving Fashion Products from Videos.

    Noa Garcia, George Vogiatzis

    Internation Conference Computer Vision Workshops p. 2293-2299 2017 Research paper (international conference proceedings)

    Publisher: IEEE Computer Society

Presentations 12

  1. Social Stereotypes in Generative Models

    Noa Garcia

    Pacific Rim International Conference on Artificial Intelligence (PRICAI) 2024/11/23

  2. ACE Japon in AI: From Digitalization to Social Impact

    Noa Garcia

    EU-Japan AI Bridge: Connecting International Researchers with Japan's AI Start-ups 2024/10/30

  3. Measuring bias and model collapse in text-to-image generation

    Noa Garcia

    The Dark Side of Generative AIs and Beyond at ECCV 2024/09/29

  4. Breaking Bad Bias: Gender Stereotypes in Generative Models

    Noa Garcia

    Distinguished Speaker Series at ELLIS Alicante 2024/09/27

  5. Social bias in image captioning: where we’ve been, where we are, and where we’re headed

    Noa Garcia

    Coalas Lab at University of California Los Angeles 2024/07/23

  6. Social bias in image captioning: where we’ve been, where we are, and where we’re headed

    Noa Garcia

    New Frontiers for Zero-shot Image Captioning Evaluation at CVPR 2024/06/18

  7. Text-to-Image Models in Art and Society

    Noa Garcia

    Rethinking the ethics of AI symposium 2023/10/23

  8. Through the latent space. A conversation on Dall-E and art (history)

    Noa Garcia

    Digital Art History Summer School 2022/08/31

  9. Societal biases in vision and language

    Noa Garcia

    Visual Recognition Group at Czech Technical University in Prague 2022/08

  10. Automatic interpretability in art

    Noa Garcia

    Thousand Words of Art Tutorial at Conference on Digital Humanities 2022/07

  11. Content, Form, and Context. What we talk about when we talk about art?

    Noa Garcia

    5th Workshop on Computer Vision for Fashion, Art, and Design at CVPR 2022/06/19

  12. Understanding fine-art paintings through visual and language representations

    Noa Garcia

    When creative AI meets conversational AI (CAI + CAI = CAI^2) 2021/03

Institutional Repository 1

Content Published in the University of Osaka Institutional Repository (OUKA)
  1. GNNBoost: boosting artwork classification with graph embeddings

    El Vaigh Cheikh Brahim, Garcia Noa, Renoust Benjamin, Chu Chenhui, Nakashima Yuta, Qian Yiming, Nagahara Hajime

    Multimedia Tools and Applications 2025/02/25