| 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 | 75 | 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 | 74 | 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 | 51 | 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 | 39 | 2019 |
| Learning non-metric visual similarity for image retrieval N Garcia, G Vogiatzis Image and Vision Computing 82, 18-25, 2019 | 39 | 2019 |
| Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions N Garcia, Y Nakashima European Conference on Computer Vision, 2020 | 32 | 2020 |
| ContextNet: representation and exploration for painting classification and retrieval in context N Garcia, B Renoust, Y Nakashima International Journal of Multimedia Information Retrieval 9, 17-30, 2020 | 27 | 2020 |
| 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 | 21 | 2020 |
| Dress like a Star: Retrieving Fashion Products from Videos N Garcia, G Vogiatzis Proceedings of the IEEE International Conference on Computer Vision Workshops, 2017 | 21 | 2017 |
| 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 | 20 | 2021 |
| 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 | 16 | 2021 |
| 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 | 15 | 2021 |
| Temporal Aggregation of Visual Features for Large-Scale Image-to-Video Retrieval N Garcia Proceedings of the ACM on International Conference on Multimedia Retrieval, 2018 | 12 | 2018 |
| 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 | 11 | 2021 |
| Outdoor vacant parking space detector for improving mobility in smart cities C Bravo, N Sánchez, N García, JM Menéndez Progress in Artificial Intelligence: 16th Portuguese Conference on …, 2013 | 11 | 2013 |
| 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 | 9 | 2021 |
| Historical and modern features for Buddha statue classification B Renoust, M Oliveira Franca, J Chan, N Garcia, V Le, A Uesaka, ... Proceedings of the 1st Workshop on Structuring and Understanding of …, 2019 | 9 | 2019 |
| Heart rate estimation using facial video information NG Docampo Universitat Politècnica de Catalunya. Escola Tècnica Superior d'Enginyeria …, 2012 | 9 | 2012 |
| 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 | 7 | 2022 |
| Understanding art through multi-modal retrieval in paintings N Garcia, B Renoust, Y Nakashima arXiv preprint arXiv:1904.10615, 2019 | 6 | 2019 |
Yuta NakashimaInstitute for Datability Science, Osaka UniversityVerified email at ids.osaka-u.ac.jp
