| What is wrong with scene text recognition model comparisons? dataset and model analysis J Baek, G Kim, J Lee, S Park, D Han, S Yun, SJ Oh, H Lee Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 395 | 2019 |
| Ocr-free document understanding transformer G Kim, T Hong, M Yim, JY Nam, J Park, J Yim, W Hwang, S Yun, D Han, ... Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 27 | 2022 |
| Cost-effective End-to-end Information Extraction for Semi-structured Document Images W Hwang, H Lee, J Yim, G Kim, M Seo Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 12 | 2021 |
| Graph embedding with shifted inner product similarity and its improved approximation capability A Okuno, G Kim, H Shimodaira The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 8 | 2019 |
| Representation learning with weighted inner product for universal approximation of general similarities G Kim, A Okuno, K Fukui, H Shimodaira Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 7 | 2019 |
| Word-like character n-gram embedding G Kim, K Fukui, H Shimodaira Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User …, 2018 | 5 | 2018 |
| Segmentation-free Compositional -gram Embedding G Kim, K Fukui, H Shimodaira Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 4 | 2019 |
| Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings M Naito, S Yokoi, G Kim, H Shimodaira Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021 | 1 | 2021 |
| Technical Report on Web-based Visual Corpus Construction for Visual Document Understanding D Kim, T Hong, M Yim, Y Kim, G Kim arXiv preprint arXiv:2211.03256, 2022 | | 2022 |
| Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching G Kim, W Hwang, M Seo, S Park Proceedings of the AAAI-22 Workshop on Knowledge Discovery from Unstructured …, 2022 | | 2022 |
| Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model S Park, G Kim, J Lee, J Cha, JH Kim, H Lee Proceedings of the 28th International Conference on Computational …, 2020 | | 2020 |
| Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization M Mizutani, A Okuno, G Kim, H Shimodaira arXiv preprint arXiv:2005.00670, 2020 | | 2020 |
| Segmentation-free compositional G Kim, K Fukui, H Shimodaira Proceedings of the 2019 Conference of the North, 2019 | | 2019 |
| Free Donut: E2E 文書理解モデルにおける Attention を用いた S Yokoo, G Kim, S Seo, AOYOY Baek | | |
| Group-Transformer: Towards A Lightweight Character-level Language Model S Park, G Kim, J Lee, J Cha, JHKH Lee | | |
| Supplementary Material for OCR-free Document Understanding Transformer G Kim, T Hong, M Yim21, JY Nam, J Park51, J Yim61, W Hwang71, S Yun, ... | | |
| Segmentation-free compositional n-gram embedding (supplementary material) G Kim, K Fukui, H Shimodaira | | |
Sangdoo YunNAVER AI LabVerified email at navercorp.com
