A high-efficiency fully convolutional networks for pixel-wise surface defect detection L Qiu, X Wu, Z Yu IEEE Access 7, 15884-15893, 2019 | 96 | 2019 |
Fully convolutional networks for surface defect inspection in industrial environment Z Yu, X Wu, X Gu Computer Vision Systems: 11th International Conference, ICVS 2017, Shenzhen …, 2017 | 88 | 2017 |
Training weakly supervised video frame interpolation with events Z Yu, Y Zhang, D Liu, D Zou, X Chen, Y Liu, JS Ren Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 40 | 2021 |
A surface defect detection method based on multi-feature fusion X Wu, H Xiong, Z Yu, P Wen Ninth international conference on digital image processing (ICDIP 2017 …, 2017 | 8 | 2017 |
Deep bayesian video frame interpolation Z Yu, Y Zhang, X Xiang, D Zou, X Chen, JS Ren European Conference on Computer Vision, 144-160, 2022 | 6 | 2022 |
Robust tracking using region proposal networks J Ren, Z Yu, J Liu, R Zhang, W Sun, J Pang, X Chen, Q Yan arXiv preprint arXiv:1705.10447, 2017 | 6 | 2017 |
Range-nullspace video frame interpolation with focalized motion estimation Z Yu, Y Zhang, D Zou, X Chen, JS Ren, S Ren Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
Video frame interpolation with learnable uncertainty and decomposition Z Yu, X Chen, S Ren IEEE Signal Processing Letters 29, 2642-2646, 2022 | 3 | 2022 |
A cascade method for TFT-LCD defect detection S Yi, X Wu, Z Yu, Z Mo Ninth International Conference on Digital Image Processing (ICDIP 2017 …, 2017 | 3 | 2017 |
Supplementary Material: Range-nullspace Video Frame Interpolation with Focalized Motion Estimation Z Yu, Y Zhang, D Zou, X Chen, JS Ren, S Ren | | |
Supplementary Material: Deep Bayesian Video Frame Interpolation Z Yu, Y Zhang, X Xiang, D Zou, X Chen, JS Ren | | |