| Malleable 2.5 D convolution: Learning receptive fields along the depth-axis for RGB-D scene parsing Y Xing, J Wang, G Zeng European conference on computer vision, 555-571, 2020 | 54 | 2020 |
| 2.5 D convolution for RGB-D semantic segmentation Y Xing, J Wang, X Chen, G Zeng 2019 IEEE International Conference on Image Processing (ICIP), 1410-1414, 2019 | 49 | 2019 |
| Coupling two-stream RGB-D semantic segmentation network by idempotent mappings Y Xing, J Wang, X Chen, G Zeng 2019 IEEE International Conference on Image Processing (ICIP), 1850-1854, 2019 | 37 | 2019 |
| Real-time semantic scene completion via feature aggregation and conditioned prediction X Chen, Y Xing, G Zeng 2020 IEEE International Conference on Image Processing (ICIP), 2830-2834, 2020 | 18 | 2020 |
| Attention forest for semantic segmentation J Wang, Y Xing, G Zeng Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 550-561, 2018 | 7 | 2018 |
| Global Context Encoding for Salient Objects Detection J Wang, Y Xing, G Zeng 2018 24th International Conference on Pattern Recognition (ICPR), 2337-2342, 2018 | 2 | 2018 |
| Orthogonal and idempotent transformations for learning deep neural networks J Wang, Y Xing, K Zhang, C Zhang arXiv preprint arXiv:1707.05974, 2017 | 1 | 2017 |
Gang ZengPeking UniversityVerified email at pku.edu.cn
