| Sample-Efficient Deep Learning Techniques for Burn Severity Assessment with Limited Data Conditions H Shin, H Shin, W Choi, J Park, M Park, E Koh, H Woo Applied Sciences 12 (14), 7317, 2022 | 6 | 2022 |
| Efficient policy adaptation with contrastive prompt ensemble for embodied agents W Choi, WK Kim, SH Kim, H Woo Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 5* | 2023 |
| Embodied CoT Distillation From LLM To Off-the-shelf Agents W Choi, WK Kim, M Yoo, H Woo Forty-first International Conference on Machine Learning, 2024 | 3 | 2024 |
| Incremental learning of retrievable skills for efficient continual task adaptation D Lee, M Yoo, WK Kim, W Choi, H Woo Advances in Neural Information Processing Systems 37, 17286-17312, 2025 | 2 | 2025 |
| Iterative Pruning-based Model Compression for Pose Estimation on Resource-constrained Devices SH Choi, W Choi, Y Lee, H Woo Proceedings of the 2022 5th International Conference on Machine Vision and …, 2022 | 1 | 2022 |
| Deep Learning-based Image Data Processing for Golf Course Simulation S Kim, W Choi, H Woo Proceedings of the Korean Society of Computer Information Conference, 545-548, 2023 | | 2023 |
| Transfer Learning based Precise Pose Estimation with Insufficient Data W Choi, H Woo Proceedings of the 2022 5th International Conference on Machine Vision and …, 2022 | | 2022 |
| NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains W Choi, J Park, S Ahn, D Lee, H Woo The Thirteenth International Conference on Learning Representations, 0 | | |
Honguk WooSKKUПідтверджена електронна адреса в skku.edu
