| High-accuracy stereo matching based on adaptive ground control points C Shi, G Wang, X Yin, X Pei, B He, X Lin IEEE Transactions on Image Processing 24 (4), 1412-1423, 2015 | 66 | 2015 |
| Depth estimation for speckle projection system using progressive reliable points growing matching G Wang, X Yin, X Pei, C Shi Applied Optics 52 (3), 516-524, 2013 | 45 | 2013 |
| Iterative transductive learning for alpha matting B He, G Wang, C Shi, X Yin, B Liu, X Lin 2013 IEEE International Conference on Image Processing, 4282-4286, 2013 | 34 | 2013 |
| Iteratively reconstructing 4D light fields from focal stacks X Yin, G Wang, W Li, Q Liao Applied optics 55 (30), 8457-8463, 2016 | 28 | 2016 |
| Efficient active depth sensing by laser speckle projection system X Yin, G Wang, C Shi, Q Liao Optical Engineering 53 (1), 013105-013105, 2014 | 17 | 2014 |
| Local matting based on sample-pair propagation and iterative refinement B He, G Wang, Z Ruan, X Yin, X Pei, X Lin 2012 19th IEEE International Conference on Image Processing, 285-288, 2012 | 17 | 2012 |
| Large aperture focus stacking with max-gradient flow by anchored rolling filtering X Yin, G Wang, W Li, Q Liao Applied optics 55 (20), 5304-5309, 2016 | 10 | 2016 |
| High-accuracy and quick matting based on sample-pair refinement and local optimization B He, G Wang, C Shi, X Yin, B Liu, X Lin IEICE TRANSACTIONS on Information and Systems 96 (9), 2096-2106, 2013 | 10 | 2013 |
| Multi-cue semi-supervised color constancy with limited training samples X Huang, B Li, S Li, W Li, W Xiong, X Yin, W Hu, H Qin IEEE Transactions on Image Processing 29, 7875-7888, 2020 | 9 | 2020 |
| All-in-focus with directional-max-gradient flow and labeled iterative depth propagation G Wang, W Li, X Yin, H Yang Pattern Recognition 77, 173-187, 2018 | 9 | 2018 |
| Blurring-effect-free CNN for optimization of structural edges in focus stacking W Li, G Wang, X Chen, X Yin, X Hu 2019 IEEE International Conference on Image Processing (ICIP), 4634-4638, 2019 | 4 | 2019 |
| Accurate depth sensing by filtering IR cost on the guide of RGB information X Yin, G Wang, C Shi, Q Liao Optical Review 22, 443-447, 2015 | 2 | 2015 |
| Pet preform defect detection based on ransac and uniformity of grey level XW Yin, GJ Wang, CB Shi, B He, B Liu, QM Liao Jisuanji Yingyong Yanjiu 29 (9), 3525-3527, 2012 | 2 | 2012 |
| Blurring-effect-free CNN network of structural edge for focus stacking G Wang, W Li, X Chen, X Yin, X Hu, C Shi, L Meng IEEE Access 7, 167672-167682, 2019 | 1 | 2019 |
| Learning the missing values in depth maps X Yin, G Wang, C Zhang, Q Liao 2013 International Conference on Optical Instruments and Technology …, 2013 | 1 | 2013 |
| Self-clustering symmetry detection B He, G Wang, C Shi, X Yin, B Liu, X Lin IEICE TRANSACTIONS on Information and Systems 95 (9), 2359-2362, 2012 | 1 | 2012 |
| Depth-Based Focus Stacking with Labeled-Laplacian Propagation W Li, G Wang, X Yin, X Hu, H Yang Image and Graphics: 9th International Conference, ICIG 2017, Shanghai, China …, 2017 | | 2017 |
| 基于 RANSAC 和灰度一致性的 PET 瓶胚口缺陷检测 尹玄武， 王贵锦， 施陈博， 何贝， 刘博， 廖庆敏 计算机应用研究 29 (9), 3525-3527, 2012 | | 2012 |
| High-accuracy and Quick Matting based on Sample-pair Refinement and Local Optimization LIN Xinggang | | |
何贝(HE Bei)Senior, ChinaVerified email at senior.auto
