Follow
Geewook Kim
Title
Cited by
Cited by
Year
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
3952019
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
272022
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
122021
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
82019
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
72019
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
52018
Segmentation-free Compositional -gram Embedding
G Kim, K Fukui, H Shimodaira
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
42019
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
12021
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
The system can't perform the operation now. Try again later.
Articles 1–17