| Mvster: Epipolar transformer for efficient multi-view stereo X Wang, Z Zhu, G Huang, F Qin, Y Ye, Y He, X Chi, X Wang European Conference on Computer Vision, 573-591, 2022 | 89 | 2022 |
| Towards better surgical instrument segmentation in endoscopic vision: Multi-angle feature aggregation and contour supervision F Qin, S Lin, Y Li, RA Bly, KS Moe, B Hannaford IEEE Robotics and Automation Letters 5 (4), 6639-6646, 2020 | 55 | 2020 |
| Surgical instrument segmentation for endoscopic vision with data fusion of cnn prediction and kinematic pose F Qin, Y Li, YH Su, D Xu, B Hannaford 2019 international conference on robotics and automation (ICRA), 9821-9827, 2019 | 55 | 2019 |
| TP-LSD: Tri-points based line segment detector S Huang, F Qin, P Xiong, N Ding, Y He, X Liu European Conference on Computer Vision, 770-785, 2020 | 50 | 2020 |
| Efficient insertion control for precision assembly based on demonstration learning and reinforcement learning Y Ma, D Xu, F Qin IEEE Transactions on Industrial Informatics 17 (7), 4492-4502, 2020 | 48 | 2020 |
| Robotic skill learning for precision assembly with microscopic vision and force feedback F Qin, D Xu, D Zhang, Y Li IEEE/ASME Transactions on Mechatronics 24 (3), 1117-1128, 2019 | 46 | 2019 |
| Lc-gan: Image-to-image translation based on generative adversarial network for endoscopic images S Lin, F Qin, Y Li, RA Bly, KS Moe, B Hannaford 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 33 | 2020 |
| Contour primitives of interest extraction method for microscopic images and its application on pose measurement F Qin, F Shen, D Zhang, X Liu, D Xu IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (8), 1348-1359, 2017 | 27 | 2017 |
| Elsd: Efficient line segment detector and descriptor H Zhang, Y Luo, F Qin, Y He, X Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 25 | 2021 |
| Laser beam pointing control with piezoelectric actuator model learning F Qin, D Zhang, D Xing, D Xu, J Li IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (3), 1024-1034, 2017 | 25 | 2017 |
| Deep reinforcement learning of robotic precision insertion skill accelerated by demonstrations X Wu, D Zhang, F Qin, D Xu 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 23 | 2019 |
| Coordinated insertion control for inclined precision assembly D Xing, F Liu, F Qin, D Xu IEEE Transactions on Industrial Electronics 63 (5), 2990-2999, 2016 | 22 | 2016 |
| Multi-frame feature aggregation for real-time instrument segmentation in endoscopic video S Lin, F Qin, H Peng, RA Bly, KS Moe, B Hannaford IEEE Robotics and Automation Letters 6 (4), 6773-6780, 2021 | 18 | 2021 |
| CT segmentation of dinosaur fossils by deep learning C Yu, F Qin, Y Li, Z Qin, M Norell Frontiers in Earth Science 9, 805271, 2022 | 16 | 2022 |
| Automated pose measurement method based on multivision and sensor collaboration for slice microdevice F Shen, F Qin, Z Zhang, D Xu, J Zhang, W Wu IEEE Transactions on Industrial Electronics 68 (1), 488-498, 2020 | 15 | 2020 |
| Automatic sinus surgery skill assessment based on instrument segmentation and tracking in endoscopic video S Lin, F Qin, RA Bly, KS Moe, B Hannaford Multiscale Multimodal Medical Imaging: First International Workshop, MMMI …, 2020 | 12 | 2020 |
| Automated hooking of biomedical microelectrode guided by intelligent microscopic vision F Qin, D Xu, D Zhang, W Pei, X Han, S Yu IEEE/ASME Transactions on Mechatronics 28 (5), 2786-2798, 2023 | 11 | 2023 |
| 机器人操作技能模型综述 秦方博， 徐德 自动化学报 45 (8), 1401-1418, 2019 | 11 | 2019 |
| Vision-based imitation learning of needle reaching skill for robotic precision manipulation Y Li, F Qin, S Du, D Xu, J Zhang Journal of Intelligent & Robotic Systems 101 (1), 22, 2021 | 9 | 2021 |
| Anomaly detection with gru based bi-autoencoder for industrial multimode process X Xu, F Qin, W Zhao, D Xu, X Wang, X Yang International Journal of Control, Automation and Systems 20 (6), 1827-1840, 2022 | 8 | 2022 |
Blake HannafordProfessor of Electrical Engineering, University of Washington在 uw.edu 的电子邮件经过验证
