| TrustMAE: A noise-resilient defect classification framework using memory-augmented auto-encoders with trust regions DS Tan, YC Chen, TPC Chen, WC Chen Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 69 | 2021 |
| Self-view grounding given a narrated 360 video SH Chou, YC Chen, KH Zeng, HN Hu, J Fu, M Sun Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 24 | 2018 |
| DLWV2: A Deep Learning-Based Wearable Vision-System with Vibrotactile-Feedback for Visually Impaired People to Reach Objects ML Shih, YC Chen, CY Tung, C Sun, CJ Cheng, L Chan, S Varadarajan, ... 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 16 | 2018 |
| Demystifying data and AI for manufacturing: case studies from a major computer maker YC Chen, BH He, SS Lin, JH Soeseno, DS Tan, TPC Chen, WC Chen APSIPA Transactions on Signal and Information Processing 10, e4, 2021 | 7 | 2021 |
| Crack Detection and Refinement Via Deep Reinforcement Learning J Park, YC Chen, YJ Li, K Kitani 2021 IEEE International Conference on Image Processing (ICIP), 529-533, 2021 | 6 | 2021 |
| Method for labeling image YC Chen, TPC Chen, DSY Tan, WC Chen US Patent 11,176,419, 2021 | 1 | 2021 |
| Method for training defect detector YC Chen, TPC Chen, DSY Tan, WC Chen US Patent 11,315,229, 2022 | | 2022 |
Daniel Stanley TanOpen UniversiteitDirección de correo verificada de ou.nl
