Deep-learning-based retrieval of piping component catalogs for plant 3D CAD model reconstruction H Kim, C Yeo, ID Lee, D Mun Computers in Industry 123, 103320, 2020 | 40 | 2020 |
Machining feature recognition based on deep neural networks to support tight integration with 3D CAD systems C Yeo, BC Kim, S Cheon, J Lee, D Mun Scientific reports 11 (1), 22147, 2021 | 35 | 2021 |
A method of generating depth images for view-based shape retrieval of 3D CAD models from partial point clouds H Kim, C Yeo, M Cha, D Mun Multimedia Tools and Applications 80, 10859-10880, 2021 | 17 | 2021 |
Manufacturability evaluation of parts using descriptor-based machining feature recognition C Yeo, S Cheon, D Mun International Journal of Computer Integrated Manufacturing 34 (11), 1196-1222, 2021 | 9 | 2021 |
Deep learning applications in an industrial process plant: repository of segmented point clouds for pipework components C Yeo, S Kim, H Kim, S Kim, D Mun JMST Advances 2 (1), 15-24, 2020 | 8 | 2020 |
Deep learning-based digitalization of a part catalog book to generate part specification by a neutral reference data dictionary J Lee, C Yeo, H Kim, D Mun Computers in Industry 139, 103665, 2022 | 4 | 2022 |
BRepGAT: Graph neural network to segment machining feature faces in a B-rep model J Lee, C Yeo, SU Cheon, JH Park, D Mun Journal of Computational Design and Engineering 10 (6), 2384-2400, 2023 | 2 | 2023 |
Machining feature recognition using descriptors with range constraints for mechanical 3D models S Lim, C Yeo, F He, J Lee, D Mun International Journal of Precision Engineering and Manufacturing 24 (10 …, 2023 | 2 | 2023 |
Development of a System to Convert a 3D Mesh Model in STL Format into OBJ Format C Yeo, C Park, D Mun Journal of the Korean Society of Manufacturing Process Engineers 17 (3), 78-86, 2018 | 2 | 2018 |