Dress Like a Star: Retrieving Fashion Products from Videos. - Noa Garcia; George Vogiatzis (ICCV Workshops, 2017)

Asymmetric Spatio-Temporal Embeddings for Large-Scale Image-to-Video Retrieval. - Noa Garcia; George Vogiatzis (BMVC, 2018)

How to Read Paintings: Semantic Art Understanding with Multi-modal Retrieval. - Noa Garcia; George Vogiatzis (ECCV Workshops (2), 2018)

Temporal Aggregation of Visual Features for Large-Scale Image-to-Video Retrieval. - Noa Garcia (ICMR, 2018)

Context-Aware Embeddings for Automatic Art Analysis. - Noa Garcia; Benjamin Renoust; Yuta Nakashima (ICMR, 2019)

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 @ ACM Multimedia, 2019)

Understanding Art through Multi-Modal Retrieval in Paintings. - Noa Garcia; Benjamin Renoust; Yuta Nakashima (CoRR, 2019)

Learning non-metric visual similarity for image retrieval. - Noa Garcia; George Vogiatzis (Image Vis. Comput., 2019)

KnowIT VQA: Answering Knowledge-Based Questions about Videos. - Noa Garcia; Mayu Otani; Chenhui Chu; Yuta Nakashima (AAAI, 2020)

Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions. - Noa Garcia; Yuta Nakashima (ECCV (18), 2020)

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 (ECCV Workshops (2), 2020)

Demographic Influences on Contemporary Art with Unsupervised Style Embeddings. - Nikolai Huckle; Noa Garcia; Yuta Nakashima (ECCV Workshops (2), 2020)

BERT Representations for Video Question Answering. - Zekun Yang; Noa Garcia; Chenhui Chu; Mayu Otani; Yuta Nakashima; Haruo Takemura (WACV, 2020)

Knowledge-Based Visual Question Answering in Videos. - Noa Garcia; Mayu Otani; Chenhui Chu; Yuta Nakashima (CoRR, 2020)

ContextNet: representation and exploration for painting classification and retrieval in context. - Noa Garcia; Benjamin Renoust; Yuta Nakashima (Int. J. Multim. Inf. Retr., 2020)

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 (ACL (student), 2021)

Transferring Domain-Agnostic Knowledge in Video Question Answering. - Tianran Wu; Noa Garcia; Mayu Otani; Chenhui Chu; Yuta Nakashima; Haruo Takemura (BMVC, 2021)

Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation. - Zechen Bai; Yuta Nakashima; Noa Garcia (ICCV, 2021)

Visual Question Answering with Textual Representations for Images. - Yusuke Hirota; Noa Garcia; Mayu Otani; Chenhui Chu; Yuta Nakashima; Ittetsu Taniguchi; Takao Onoye (ICCVW, 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 (ICMR, 2021)

The Met Dataset: Instance-level Recognition for Artworks. - Nikolaos-Antonios Ypsilantis; Noa Garcia; Guangxing Han; Sarah Ibrahimi; Nanne van Noord; Giorgos Tolias (NeurIPS Datasets and Benchmarks, 2021)

The Laughing Machine: Predicting Humor in Video. - Yuta Kayatani; Zekun Yang; Mayu Otani; Noa Garcia; Chenhui Chu; Yuta Nakashima; Haruo Takemura (WACV, 2021)

Cross-Lingual Visual Grounding. - Wenjian Dong; Mayu Otani; Noa Garcia; Yuta Nakashima; Chenhui Chu (IEEE Access, 2021)

Understanding the Role of Scene Graphs in Visual Question Answering. - Vinay Damodaran; Sharanya Chakravarthy; Akshay Kumar; Anjana Umapathy; Teruko Mitamura; Yuta Nakashima; Noa Garcia; Chenhui Chu (CoRR, 2021)

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, 2021)

A comparative study of language transformers for video question answering. - Zekun Yang; Noa Garcia; Chenhui Chu; Mayu Otani; Yuta Nakashima; Haruo Takemura (Neurocomputing, 2021)

Quantifying Societal Bias Amplification in Image Captioning. - Yusuke Hirota; Yuta Nakashima; Noa Garcia (CVPR, 2022)

Gender and Racial Bias in Visual Question Answering Datasets. - Yusuke Hirota; Yuta Nakashima; Noa Garcia (FAccT, 2022)

The semantic typology of visually grounded paraphrases. - Chenhui Chu; Vinícius Oliveira; Felix Giovanni Virgo; Mayu Otani; Noa Garcia; Yuta Nakashima (Comput. Vis. Image Underst., 2022)

MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media. - Gullal S. Cheema; Sherzod Hakimov; Marc A. Kastner 001; Noa Garcia (CIKM, 2023)

Uncurated Image-Text Datasets: Shedding Light on Demographic Bias. - Noa Garcia; Yusuke Hirota; Yankun Wu; Yuta Nakashima (CVPR, 2023)

Model-Agnostic Gender Debiased Image Captioning. - Yusuke Hirota; Yuta Nakashima; Noa Garcia (CVPR, 2023)

Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis. - Yankun Wu; Yuta Nakashima; Noa Garcia (ICMR, 2023)

CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care. - Tong Xiang; Liangzhi Li 004; Wangyue Li; Mingbai Bai; Lu Wei; Bowen Wang; Noa Garcia (NeurIPS, 2023)

CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care. - Tong Xiang; Liangzhi Li 001; Wangyue Li; Mingbai Bai; Lu Wei; Bowen Wang 002; Noa Garcia (CoRR, 2023)

Stable Diffusion Exposed: Gender Bias from Prompt to Image. - Yankun Wu; Yuta Nakashima; Noa Garcia (AIES (1), 2024)

Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? - Wangyue Li; Liangzhi Li 001; Tong Xiang; Xiao Liu; Wei Deng; Noa Garcia (LREC/COLING, 2024)

Would Deep Generative Models Amplify Bias in Future Models? - Tianwei Chen; Yusuke Hirota; Mayu Otani; Noa Garcia; Yuta Nakashima (CVPR, 2024)

Auditing Image-based NSFW Classifiers for Content Filtering. - Warren Leu; Yuta Nakashima; Noa Garcia (FAccT, 2024)

MUWS 2024: The 3rd International Workshop on Multimodal Human Understanding for the Web and Social Media. - Marc A. Kastner 001; Gullal S. Cheema; Sherzod Hakimov; Noa Garcia (ICMR, 2024)

Retrieving Emotional Stimuli in Artworks. - Tianwei Chen; Noa Garcia; Liangzhi Li 001; Yuta Nakashima (ICMR, 2024)

Reproducibility Companion Paper: Stable Diffusion for Content-Style Disentanglement in Art Analysis. - Yankun Wu; Yuta Nakashima; Noa Garcia; Sheng Li 010; Zhaoyang Zeng (ICMR, 2024)

Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language Models. - Xiao Liu; Liangzhi Li 001; Tong Xiang; Fuying Ye; Lu Wei; Wangyue Li; Noa Garcia (CoRR, 2024)

Gender Bias Evaluation in Text-to-image Generation: A Survey. - Yankun Wu; Yuta Nakashima; Noa Garcia (CoRR, 2024)

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 (J. Imaging, 2024)

Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation. - Tianwei Chen; Noa Garcia; Liangzhi Li 001; Yuta Nakashima (J. Imaging, 2024)

GOYA: Leveraging Generative Art for Content-Style Disentanglement. - Yankun Wu; Yuta Nakashima; Noa Garcia (J. Imaging, 2024)

No Annotations for Object Detection in Art Through Stable Diffusion. - Patrick Ramos; Nicolas Gonthier; Selina Khan; Yuta Nakashima; Noa Garcia (WACV, 2025)

Societal Bias in Image Captioning: Identifying and Measuring Bias Amplification. - Yusuke Hirota; Yuta Nakashima; Noa Garcia (IEICE Trans. Inf. Syst., 2025)

Mitigating Gender Bias Amplification in Image Captioning. - Yusuke Hirota; Yuta Nakashima; Noa Garcia (IEICE Trans. Inf. Syst., 2025)

Revealing Gender Bias from Prompt to Image in Stable Diffusion. - Yankun Wu; Yuta Nakashima; Noa Garcia (J. Imaging, 2025)

ImageSet2Text: Describing Sets of Images through Text. - Piera Riccio; Francesco Galati; Kajetan Schweighofer; Noa Garcia; Nuria Oliver (CoRR, 2025)

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 Ethics, 2025)

Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification. - Lu Wei; Liangzhi Li 004; Tong Xiang; Xiao Liu; Noa Garcia (CoRR, 2025)

Processing and acquisition traces in visual encoders: What does CLIP know about your camera? - Ryan Ramos; Vladan Stojnic; Giorgos Kordopatis-Zilos; Yuta Nakashima; Giorgos Tolias; Noa Garcia (CoRR, 2025)

Data Leakage in Visual Datasets. - Patrick Ramos; Ryan Ramos; Noa Garcia (CoRR, 2025)

From Global to Local: Social Bias Transfer in CLIP. - Ryan Ramos; Yusuke Hirota; Yuta Nakashima; Noa Garcia (CoRR, 2025)

Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation. - Yusuke Hirota; Ryo Hachiuma; Boyi Li; Ximing Lu; Michael Ross Boone; Boris Ivanovic; Yejin Choi; Marco Pavone 001; Yu-Chiang Wang 001; Noa Garcia; Yuta Nakashima; Chao-Han Huck Yang (CoRR, 2025)

The Iconicity of the Generated Image. - Nanne van Noord; Noa Garcia (CoRR, 2025)

GNNBoost: boosting artwork classification with graph embeddings. - Cheikh Brahim El Vaigh; Noa Garcia; Benjamin Renoust; Chenhui Chu; Yuta Nakashima; Yiming Qian; Hajime Nagahara (Multim. Tools Appl., 2025)

Instance-Level Generation for Representation Learning. - Yankun Wu; Zakaria Laskar; Giorgos Kordopatis-Zilos; Noa Garcia; Giorgos Tolias (CoRR, 2025)