Noa Garcia Docampo

Profile Information

Affiliation: Specially-Appointed Assistant Professor, Institute for Datability Science, Osaka University

Degree: Ph.D. Computer Science(Mar, 2019, Aston University)

Researcher number: 80870005
ORCID ID: https://orcid.org/0000-0002-9200-6359
J-GLOBAL ID: 202001017025339734
researchmap Member ID: R000008763

External link: http://noagarciad.com

Research Interests

Research History

May, 2021 - Present

(Specially-Appointed Assistant Professor), Institute for Datability Science, Osaka University
Oct, 2018 - Apr, 2021

(Specially-Appointed Researcher/Fellow), Institute for Datability Science, Osaka University

Education

Oct, 2015 - Mar, 2019

Ph.D. Computer Science, Aston University
Sep, 2006 - Jun, 2012

Telecommunication Engineering, Universitat Politecnica Catalunya

Papers

Gender and Racial Bias in Visual Question Answering Datasets.

Yusuke Hirota, Yuta Nakashima, Noa Garcia

FAccT, 1280-1292, 2022 Peer-reviewedLast author
Quantifying Societal Bias Amplification in Image Captioning.

Yusuke Hirota, Yuta Nakashima, Noa Garcia

CVPR, 13440-13449, 2022 Peer-reviewedLast author
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, 215 103333-103333, Jan, 2022 Peer-reviewed
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), Oct, 2021 Peer-reviewed
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 Peer-reviewed
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), 92-100, 2021 Peer-reviewed
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), 5402-5412, 2021 Peer-reviewedLast author
Transferring Domain-Agnostic Knowledge in Video Question Answering.

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

BMVC, 301-301, 2021 Peer-reviewed
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, 81-86, 2021 Peer-reviewed
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, abs/2106.13445, 2021
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, abs/2105.11852, 2021 Peer-reviewed
The Laughing Machine: Predicting Humor in Video.

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

WACV, 2072-2081, 2021 Peer-reviewed
A comparative study of language transformers for video question answering.

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

Neurocomputing, 445 121-133, 2021 Peer-reviewed
Cross-Lingual Visual Grounding.

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

IEEE Access, 9 349-358, 2021 Peer-reviewed
BERT Representations for Video Question Answering.

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

WACV, 1545-1554, 2020 Peer-reviewed
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions.

Noa Garcia, Yuta Nakashima

European Conference on Computer Vision, 581-598, 2020 Peer-reviewedLead author
Demographic Influences on Contemporary Art with Unsupervised Style Embeddings.

Nikolai Huckle, Noa Garcia, Yuta Nakashima

European Conference on Computer Vision Workshops, 126-142, 2020 Peer-reviewed
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, 92-108, 2020 Peer-reviewedLead author
KnowIT VQA: Answering Knowledge-Based Questions about Videos.

Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima

AAAI, 10826-10834, 2020 Peer-reviewedLead author
ContextNet: representation and exploration for painting classification and retrieval in context.

Noa Garcia, Benjamin Renoust, Yuta Nakashima

Int. J. Multim. Inf. Retr., 9(1) 17-30, 2020 Peer-reviewedInvitedLead author

Research Projects

Societal biases in vision and language applications

科学研究費助成事業基盤研究(C), 日本学術振興会, Apr, 2022 - Mar, 2026

GARCIA・DOCAMPO NOA
Understanding Concrete and Abstract Representations in Art

Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists, Japan Society for the Promotion of Science, Apr, 2020 - Mar, 2022

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