| 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 | 698 | 2019 |
| On recognizing texts of arbitrary shapes with 2D self-attention J Lee, S Park, J Baek, SJ Oh, S Kim, H Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 176 | 2020 |
| What if we only use real datasets for scene text recognition? toward scene text recognition with fewer labels J Baek, Y Matsui, K Aizawa Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 118 | 2021 |
| Character region attention for text spotting Y Baek, S Shin, J Baek, S Park, J Lee, D Nam, H Lee Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 87 | 2020 |
| Cleval: Character-level evaluation for text detection and recognition tasks Y Baek, D Nam, S Park, J Lee, S Shin, J Baek, CY Lee, H Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 21 | 2020 |
| COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts J Baek, Y Matsui, K Aizawa Proceedings of the European Conference on Computer Vision (ECCV), 2022 | 17 | 2022 |
| A situation-aware action selection based on individual's preference using emotion estimation K Kumagai, J Baek, I Mizuuchi 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014 …, 2014 | 12 | 2014 |
| Considerate behavior of robots based on individual’s preference J Baek, I Mizuuchi Intelligent Autonomous Systems (IAS) 13, 1007-1019, 2014 | 3 | 2014 |
| Harnessing PDF Data for Improving Japanese Large Multimodal Models J Baek, A Aizawa, K Aizawa arXiv preprint arXiv:2502.14778, 2025 | | 2025 |
| Leveraging LLM for Detecting and Explaining LLM-generated Code in Python Programming Courses J Baek, T Yamazaki, A Morihata, J Mori, Y Yamakata, K Taura, S Chiba Proceedings of the 56th ACM Technical Symposium on Computer Science …, 2025 | | 2025 |
| JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation S Onohara*, A Miyai*, Y Imajuku*, K Egashira*, J Baek*, X Yue, G Neubig, ... NAACL, 2024 | | 2024 |
| Cross-Lingual Learning in Multilingual Scene Text Recognition J Baek, Y Matsui, K Aizawa IEEE International Conference on Acoustics, Speech and Signal Processing …, 2024 | | 2024 |
| Character Image Combination for Multilingual Scene Text Recognition: Can We Make High-Performance Synthetic Data Without Fonts? J Baek, E Noh, Y Matsui, K Aizawa International Conference on Computer Vision (ICCV) Workshop Towards the Next …, 2023 | | 2023 |
| Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network JH Baek, S Oba, J Yoshimoto, K Doya, S Ishii International Conference on Neural Information Processing (ICONIP), 583-591, 2015 | | 2015 |
| What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels–Supplementary Material– J Baek, Y Matsui, K Aizawa | | |
| CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks–Supplementary Material– Y Baek, D Nam, S Park, J Lee, S Shin, J Baek, CY Lee, H Lee | | |
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