| 2026 | AAAI | ImageSet2Text: Describing Sets of Images Through Text. | Piera Riccio, Francesco Galati, Kajetan Schweighofer, Noa Garcia, Nuria Oliver |
| 2025 | AIES | Privacy in Image Datasets: A Case Study on Pregnancy Ultrasounds. | Rawisara Lohanimit, Yankun Wu, Amelia Katirai, Yuta Nakashima, Noa Garcia |
| 2025 | ICCV | 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, Yu-Chiang Frank Wang, Noa Garcia, Yuta Nakashima, Chao-Han Huck Yang |
| 2025 | ICCV | From Global to Local: Social Bias Transfer in CLIP. | Ryan Ramos, Yusuke Hirota, Yuta Nakashima, Noa Garcia |
| 2025 | ICCV | Data Leakage in Visual Datasets. | Patrick Ramos, Ryan Ramos, Noa Garcia |
| 2025 | ICCV | 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 |
| 2025 | WACV | No Annotations for Object Detection in Art Through Stable Diffusion. | Patrick Ramos, Nicolas Gonthier, Selina Khan, Yuta Nakashima, Noa Garcia |
| 2024 | AIES | Stable Diffusion Exposed: Gender Bias from Prompt to Image. | Yankun Wu, Yuta Nakashima, Noa Garcia |
| 2024 | COLING | 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 |
| 2024 | CVPR | Would Deep Generative Models Amplify Bias in Future Models? | Tianwei Chen, Yusuke Hirota, Mayu Otani, Noa Garcia, Yuta Nakashima |
| 2023 | CIKM | MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media. | Gullal S. Cheema, Sherzod Hakimov, Marc A. Kastner, Noa Garcia |
| 2023 | CVPR | Uncurated Image-Text Datasets: Shedding Light on Demographic Bias. | Noa Garcia, Yusuke Hirota, Yankun Wu, Yuta Nakashima |
| 2023 | CVPR | Model-Agnostic Gender Debiased Image Captioning. | Yusuke Hirota, Yuta Nakashima, Noa Garcia |
| 2022 | CVPR | Quantifying Societal Bias Amplification in Image Captioning. | Yusuke Hirota, Yuta Nakashima, Noa Garcia |
| 2021 | ACL | 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 |
| 2021 | BMVC | Transferring Domain-Agnostic Knowledge in Video Question Answering. | Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura |
| 2021 | ICCV | Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation. | Zechen Bai, Yuta Nakashima, Noa Garcia |
| 2021 | WACV | The Laughing Machine: Predicting Humor in Video. | Yuta Kayatani, Zekun Yang, Mayu Otani, Noa Garcia, Chenhui Chu, Yuta Nakashima, Haruo Takemura |
| 2020 | AAAI | KnowIT VQA: Answering Knowledge-Based Questions about Videos. | Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima |
| 2020 | ECCV | Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions. | Noa Garcia, Yuta Nakashima |
| 2020 | ECCV | 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 |
| 2020 | ECCV | Demographic Influences on Contemporary Art with Unsupervised Style Embeddings. | Nikolai Huckle, Noa Garcia, Yuta Nakashima |
| 2020 | WACV | BERT Representations for Video Question Answering. | Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura |
| 2018 | BMVC | Asymmetric Spatio-Temporal Embeddings for Large-Scale Image-to-Video Retrieval. | Noa Garcia, George Vogiatzis |
| 2018 | ECCV | How to Read Paintings: Semantic Art Understanding with Multi-modal Retrieval. | Noa Garcia, George Vogiatzis |