| Exploiting global priors for RGB-D saliency detection J Ren, X Gong, L Yu, W Zhou, M Ying Yang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 237 | 2015 |
| Revisiting Rubik’s cube: self-supervised learning with volume-wise transformation for 3D medical image segmentation X Tao, Y Li, W Zhou, K Ma, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 86 | 2020 |
| Unsupervised monocular depth estimation from light field image W Zhou, E Zhou, G Liu, L Lin, A Lumsdaine IEEE Transactions on Image Processing 29, 1606-1617, 2019 | 58 | 2019 |
| Guided depth enhancement via a fast marching method X Gong, J Liu, W Zhou, J Liu Image and Vision Computing 31 (10), 695-703, 2013 | 55 | 2013 |
| PEAL: Prior-embedded explicit attention learning for low-overlap point cloud registration J Yu, L Ren, Y Zhang, W Zhou, L Lin, G Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 54 | 2023 |
| Epi-patch based convolutional neural network for depth estimation on 4d light field Y Luo, W Zhou, J Fang, L Liang, H Zhang, G Dai Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 46 | 2017 |
| Real-time stereo vision system using adaptive weight cost aggregation approach J Ding, J Liu, W Zhou, H Yu, Y Wang, X Gong EURASIP Journal on Image and Video Processing 2011, 1-19, 2011 | 36 | 2011 |
| Scale and orientation aware epi-patch learning for light field depth estimation W Zhou, L Liang, H Zhang, A Lumsdaine, L Lin 2018 24th International Conference on Pattern Recognition (ICPR), 2362-2367, 2018 | 34 | 2018 |
| Learning depth cues from focal stack for light field depth estimation W Zhou, E Zhou, Y Yan, L Lin, A Lumsdaine 2019 IEEE International Conference on Image Processing (ICIP), 1074-1078, 2019 | 32 | 2019 |
| Pcr-cg: Point cloud registration via deep explicit color and geometry Y Zhang, J Yu, X Huang, W Zhou, J Hou European Conference on Computer Vision, 443-459, 2022 | 28 | 2022 |
| Automatic segmentation of 3D prostate MR images with iterative localization refinement W Zhou, X Tao, Z Wei, L Lin Digital Signal Processing 98, 102649, 2020 | 24 | 2020 |
| A hybrid learning of multimodal cues for light field depth estimation W Zhou, X Wei, Y Yan, W Wang, L Lin Digital Signal Processing 95, 102585, 2019 | 22 | 2019 |
| BiRSwinT: Bilinear full-scale residual swin-transformer for fine-grained driver behavior recognition W Yang, C Tan, Y Chen, H Xia, X Tang, Y Cao, W Zhou, L Lin, G Dai Journal of the Franklin Institute 360 (2), 1166-1183, 2023 | 17 | 2023 |
| Robust structural similarity index measure for images with non-Gaussian distortions L Lin, H Chen, EE Kuruoglu, W Zhou Pattern Recognition Letters 163, 10-16, 2022 | 17 | 2022 |
| HLDnet: Novel deep learning based artificial intelligence tool fuses acetic acid and Lugol’s iodine cervicograms for accurate pre-cancer screening L Yan, H Song, Y Guo, P Ren, W Zhou, S Li, J Yang, X Shen Biomedical Signal Processing and Control 71, 103163, 2022 | 14 | 2022 |
| Unsupervised monocular visual odometry with decoupled camera pose estimation L Lin, W Wang, W Luo, L Song, W Zhou Digital Signal Processing 114, 103052, 2021 | 14 | 2021 |
| N-Net: 3D Fully Convolution Network-Based Vertebrae Segmentation from CT Spinal Images W Zhou, L Lin, G Ge International Journal of Pattern Recognition and Artificial Intelligence 33 …, 2019 | 12 | 2019 |
| Unsupervised learning of light field depth estimation with spatial and angular consistencies L Lin, Q Li, B Gao, Y Yan, W Zhou, EE Kuruoglu Neurocomputing 501, 113-122, 2022 | 11 | 2022 |
| Robust dense light field reconstruction from sparse noisy sampling W Zhou, J Shi, Y Hong, L Lin, EE Kuruoglu Signal Processing 186, 108121, 2021 | 11 | 2021 |
| Depth-guided view synthesis for light field reconstruction from a single image W Zhou, G Liu, J Shi, H Zhang, G Dai Image and Vision Computing 95, 103874, 2020 | 11 | 2020 |
Andrew LumsdaineUniversity of Washington; Pacific Northwest National Laboratoryایمیل تأیید شده در uw.edu