| Active garment recognition and target grasping point detection using deep learning E Corona, G Alenya, A Gabas, C Torras Pattern Recognition 74, 629-641, 2018 | 89 | 2018 |
| Robot-aided cloth classification using depth information and CNNs A Gabas, E Corona, G Alenyà, C Torras Articulated Motion and Deformable Objects: 9th International Conference …, 2016 | 34 | 2016 |
| Physical edge detection in clothing items for robotic manipulation A Gabas, Y Kita 2017 18th International Conference on Advanced Robotics (ICAR), 524-529, 2017 | 11 | 2017 |
| Toward 6 dof object pose estimation with minimum dataset K Suzui, Y Yoshiyasu, A Gabas, F Kanehiro, E Yoshida 2019 IEEE/SICE International Symposium on System Integration (SII), 462-467, 2019 | 6 | 2019 |
| Dual edge classifier for robust cloth unfolding A Gabas, Y Kita, E Yoshida ROBOMECH Journal 8 (1), 15, 2021 | 4 | 2021 |
| Ape: A more practical approach to 6-dof pose estimation A Gabas, Y Yoshiyasu, RP Singh, R Sagawa, E Yoshida 2020 IEEE International Conference on Image Processing (ICIP), 3164-3168, 2020 | 2 | 2020 |
| Instance-specific 6-dof object pose estimation from minimal annotations RP Singh, I Kumagai, A Gabas, M Benallegue, Y Yoshiyasu, F Kanehiro 2020 IEEE/SICE International Symposium on System Integration (SII), 109-114, 2020 | 2 | 2020 |
| Automatic dataset generation for object pose estimation KB Tshilombo, Y Yoshiyasu, A Gabas, K Suzui SIGGRAPH Asia 2018 Posters, 1-2, 2018 | 1 | 2018 |
| Instance-specific 6-DoF Object Pose Estimation from Minimal Annotations R Pratap Singh, I Kumagai, A Gabas, M Benallegue, Y Yoshiyasu, ... arXiv e-prints, arXiv: 2207.13264, 2022 | | 2022 |
