| How to read paintings: semantic art understanding with multi-modal retrieval N Garcia, G Vogiatzis Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 145 | 2018 |
| Bert representations for video question answering Z Yang, N Garcia, C Chu, M Otani, Y Nakashima, H Takemura Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 139 | 2020 |
| KnowIT VQA: Answering knowledge-based questions about videos N Garcia, M Otani, C Chu, Y Nakashima Proceedings of the AAAI conference on artificial intelligence 34 (07), 10826 …, 2020 | 104 | 2020 |
| Quantifying societal bias amplification in image captioning Y Hirota, Y Nakashima, N Garcia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 74 | 2022 |
| Gender and Racial Bias in Visual Question Answering Datasets Y Hirota, Y Nakashima, N Garcia ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022 | 71 | 2022 |
| A dataset and baselines for visual question answering on art N Garcia, C Ye, Z Liu, Q Hu, M Otani, C Chu, Y Nakashima, T Mitamura Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 71 | 2020 |
| Context-aware embeddings for automatic art analysis N Garcia, B Renoust, Y Nakashima Proceedings of the 2019 on International Conference on Multimedia Retrieval …, 2019 | 66 | 2019 |
| Uncurated image-text datasets: Shedding light on demographic bias N Garcia, Y Hirota, Y Wu, Y Nakashima Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 59 | 2023 |
| Explain me the painting: Multi-topic knowledgeable art description generation Z Bai, Y Nakashima, N Garcia Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 57 | 2021 |
| Learning non-metric visual similarity for image retrieval N Garcia, G Vogiatzis Image and Vision Computing 82, 18-25, 2019 | 54 | 2019 |
| The met dataset: Instance-level recognition for artworks NA Ypsilantis, N Garcia, G Han, S Ibrahimi, N Van Noord, G Tolias Thirty-fifth conference on neural information processing systems datasets …, 2021 | 51 | 2021 |
| ContextNet: representation and exploration for painting classification and retrieval in context N Garcia, B Renoust, Y Nakashima International Journal of Multimedia Information Retrieval 9 (1), 17-30, 2020 | 51 | 2020 |
| Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions N Garcia, Y Nakashima European Conference on Computer Vision, 2020 | 41 | 2020 |
| Understanding the role of scene graphs in visual question answering V Damodaran, S Chakravarthy, A Kumar, A Umapathy, T Mitamura, ... arXiv preprint arXiv:2101.05479, 2021 | 40 | 2021 |
| Can multiple-choice questions really be useful in detecting the abilities of LLMs? W Li, L Li, T Xiang, X Liu, W Deng, N Garcia arXiv preprint arXiv:2403.17752, 2024 | 39 | 2024 |
| Dress like a Star: Retrieving Fashion Products from Videos N Garcia, G Vogiatzis Proceedings of the IEEE International Conference on Computer Vision Workshops, 2017 | 33 | 2017 |
| GCNBoost: Artwork classification by label propagation through a knowledge graph CB El Vaigh, N Garcia, B Renoust, C Chu, Y Nakashima, H Nagahara Proceedings of the 2021 International Conference on Multimedia Retrieval, 92-100, 2021 | 32 | 2021 |
| Not only generative art: Stable diffusion for content-style disentanglement in art analysis Y Wu, Y Nakashima, N Garcia Proceedings of the 2023 ACM International conference on multimedia retrieval …, 2023 | 27 | 2023 |
| A comparative study of language transformers for video question answering Z Yang, N Garcia, C Chu, M Otani, Y Nakashima, H Takemura Neurocomputing 445, 121-133, 2021 | 21 | 2021 |
| Model-agnostic gender debiased image captioning Y Hirota, Y Nakashima, N Garcia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
Yuta NakashimaSANKEN, The University of OsakaVerified email at ids.osaka-u.ac.jp