| Trajectory generation for robotic assembly operations using learning by demonstration DA Duque, FA Prieto, JG Hoyos Robotics and Computer-Integrated Manufacturing 57, 292-302, 2019 | 90 | 2019 |
| On power Jaccard losses for semantic segmentation D Duque-Arias, S Velasco-Forero, JE Deschaud, F Goulette, A Serna, ... VISAPP 2021: 16th International conference on computer vision theory and …, 2021 | 50 | 2021 |
| Paris-CARLA-3D: A real and synthetic outdoor point cloud dataset for challenging tasks in 3D mapping JE Deschaud, D Duque, JP Richa, S Velasco-Forero, B Marcotegui, ... Remote Sensing 13 (22), 4713, 2021 | 41 | 2021 |
| SHREC 2020: 3D point cloud semantic segmentation for street scenes T Ku, RC Veltkamp, B Boom, D Duque-Arias, S Velasco-Forero, ... Computers & Graphics 93, 13-24, 2020 | 21 | 2020 |
| El uso de sistemas inteligentes (IA) en el registro de la propiedad industrial E Garcia, D Duque-Arias, R Manrique, F Giraldo Revista La Propiedad Inmaterial, 295-326, 2020 | 3* | 2020 |
| A graph-based color lines model for image analysis D Duque-Arias, S Velasco-Forero, JE Deschaud, F Goulette, ... Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019 | 3 | 2019 |
| 3D urban scene understanding by analysis of LiDAR, color and hyperspectral data D Duque-Arias Université Paris sciences et lettres, 2021 | | 2021 |
| A Trademark Image Retrieval Tool Based on Deep Learning Features R Manrique, D Duque-Arias ICMarkTech 2020: International Conference on Marketing and Technologies, 23-33, 2021 | | 2021 |
| Ensamblaje automatizado de partes utilizando técnicas de aprendizaje por demostración y visión 3D DA Duque Arias Universidad Nacional de Colombia-Sede Bogotá, 2017 | | 2017 |
Santiago Velasco-ForeroMINES ParisTech在 cmm.ensmp.fr 的电子邮件经过验证
