| Visual Saliency Based on Multiscale Deep Features G Li, Y Yu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5455-5463, 2015 | 1495 | 2015 |
| Deep Contrast Learning for Salient Object Detection G Li, Y Yu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 478-487, 2016 | 913 | 2016 |
| Efficient view-dependent image-based rendering with projective texture-mapping PE Debevec, Y Yu, G Borshukov Eurographics Workshop on Rendering 98, 105-116, 1998 | 861 | 1998 |
| Neural Style Transfer: A Review Y Jing, Y Yang, Z Feng, J Ye, Y Yu, M Song IEEE Transactions on Visualization and Computer Graphics 26 (11), 3365-3385, 2020 | 852 | 2020 |
| Mesh editing with poisson-based gradient field manipulation Y Yu, K Zhou, D Xu, X Shi, H Bao, B Guo, HY Shum SIGGRAPH 2004, TOG 23 (3), 644-651, 2004 | 815 | 2004 |
| Inverse global illumination: Recovering reflectance models of real scenes from photographs Y Yu, P Debevec, J Malik, T Hawkins SIGGRAPH 1999, 215-224, 1999 | 665 | 1999 |
| HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition Z Yan, H Zhang, R Piramuthu, V Jagadeesh, D DeCoste, W Di, Y Yu IEEE International Conference on Computer Vision (ICCV), 2015, 2015 | 585* | 2015 |
| nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer HY Zhou, J Guo, Y Zhang, X Han, L Yu, L Wang IEEE Transactions on Image Processing 32, 4036-4045, 2023 | 429* | 2023 |
| Visual Saliency Detection Based on Multiscale Deep CNN Features G Li, Y Yu IEEE Transactions on Image Processing 25 (11), 5012-5024, 2016 | 425 | 2016 |
| FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation H Wu, J Zhang, K Huang, K Liang, Y Yu arXiv preprint arXiv:1903.11816, 2019 | 350 | 2019 |
| Particle-based simulation of granular materials N Bell, Y Yu, PJ Mucha ACM SIGGRAPH/EG Symposium on Computer Animation, 77-86, 2005 | 325 | 2005 |
| High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference X Han, Z Li, H Huang, E Kalogerakis, Y Yu IEEE International Conference on Computer Vision (ICCV), 2017 | 324 | 2017 |
| Instance-Level Salient Object Segmentation G Li, Y Xie, L Lin, Y Yu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 323 | 2017 |
| Feature matching and deformation for texture synthesis Q Wu, Y Yu SIGGRAPH 2004, TOG 23 (3), 364-367, 2004 | 315 | 2004 |
| Automatic Photo Adjustment Using Deep Neural Networks Z Yan, H Zhang, B Wang, S Paris, Y Yu ACM Transactions on Graphics (TOG) 35 (2), 11, 2016 | 312 | 2016 |
| Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up W Ge, X Lin, Y Yu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 305 | 2019 |
| Recovering photometric properties of architectural scenes from photographs Y Yu, J Malik SIGGRAPH 1998, 207-217, 1998 | 281 | 1998 |
| Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning W Ge, Y Yu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 275 | 2017 |
| Multi-evidence filtering and fusion for multi-label classification, object detection and semantic segmentation based on weakly supervised learning W Ge, S Yang, Y Yu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1277-1286, 2018 | 242 | 2018 |
| An L 1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition S Bi, X Han, Y Yu SIGGRAPH 2015, TOG 34 (4), 78, 2015 | 229 | 2015 |
Guanbin Li (李冠彬)Professor, School of Computer Science and Engineering, Sun Yat-Sen University, China在 mail.sysu.edu.cn 的电子邮件经过验证
