| Super resolution using edge prior and single image detail synthesis YW Tai, S Liu, MS Brown, S Lin CVPR2010; Code: http://www.liushuaicheng.org/CVPR2010/index.html, 2400-2407, 2010 | 417 | 2010 |
| Bundled camera paths for video stabilization S Liu, L Yuan, P Tan, J Sun ACM Transactions on Graphics (TOG); http://www.liushuaicheng.org …, 2013 | 372 | 2013 |
| Deeplidar: Deep surface normal guided depth prediction for outdoor scene from sparse lidar data and single color image J Qiu, Z Cui, Y Zhang, X Zhang, S Liu, B Zeng, M Pollefeys CVPR2019; Code: https://github.com/JiaxiongQ/DeepLiDAR, 3313-3322, 2019 | 343 | 2019 |
| SteadyFlow: Spatially Smooth Optical Flow for Video Stabilization S Liu, L Yuan, P Tan, J Sun CVPR2014; Project: http://www.liushuaicheng.org/CVPR2014/index.html, 4209-4216, 2014 | 214 | 2014 |
| A hierarchical approach for rain or snow removing in a single color image Y Wang, S Liu, C Chen, B Zeng IEEE Transactions on Image Processing 26 (8), 3936-3950, 2017 | 193 | 2017 |
| NBNet: Noise Basis Learning for Image Denoising with Subspace Projection S Cheng, Y Wang, H Huang, D Liu, H Fan, S Liu CVPR2021; Code: https://github.com/megvii-research/NBNet, 4896-4906, 2021 | 142 | 2021 |
| Video stabilization with a depth camera S Liu, Y Wang, L Yuan, J Bu, P Tan, J Sun CVPR2012; Project: http://www.liushuaicheng.org/CVPR2012/index.html, 89-95, 2012 | 139 | 2012 |
| Content-aware unsupervised deep homography estimation J Zhang, C Wang, S Liu, L Jia, N Ye, J Wang, J Zhou, J Sun ECCV2020; Code: https://github.com/JirongZhang/DeepHomography, 653-669, 2020 | 127 | 2020 |
| Dast: Data-free substitute training for adversarial attacks M Zhou, J Wu, Y Liu, S Liu, C Zhu CVPR2020; Code: https://github.com/zhoumingyi/DaST, 234-243, 2020 | 121 | 2020 |
| Meshflow: Minimum latency online video stabilization S Liu, P Tan, L Yuan, J Sun, B Zeng Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 117 | 2016 |
| Practical stereo matching via cascaded recurrent network with adaptive correlation J Li, P Wang, P Xiong, T Cai, Z Yan, L Yang, J Liu, H Fan, S Liu CVPR2022;Code: https://github.com/megvii-research/CREStereo, 16263-16272, 2022 | 107 | 2022 |
| Joint video stitching and stabilization from moving cameras H Guo, S Liu, T He, S Zhu, B Zeng, M Gabbouj IEEE Transactions on Image Processing; Project: http://www.liushuaicheng.org …, 2016 | 95 | 2016 |
| NTIRE 2023 challenge on efficient super-resolution: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, L Yu, Y Li, X Li, T Jiang, Q Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 85 | 2023 |
| Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images L Nie, C Lin, K Liao, S Liu, Y Zhao IEEE TIP; Code: https://github.com/nie-lang/UnsupervisedDeepImageStitching …, 2021 | 84 | 2021 |
| OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration H Xu, S Liu, G Wang, G Liu, B Zeng ICCV2021; Code: https://github.com/megvii-research/OMNet, 2021 | 83 | 2021 |
| C3AE: Exploring the limits of compact model for age estimation C Zhang, S Liu, X Xu, C Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 83 | 2019 |
| Svga-net: Sparse voxel-graph attention network for 3d object detection from point clouds Q He, Z Wang, H Zeng, Y Zeng, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 870-878, 2022 | 70 | 2022 |
| Neural point cloud rendering via multi-plane projection P Dai, Y Zhang, Z Li, S Liu, B Zeng CVPR2020; Code: https://github.com/daipengwa/Neural-Point-Cloud-Rendering …, 2020 | 69 | 2020 |
| Upflow: Upsampling pyramid for unsupervised optical flow learning K Luo, C Wang, S Liu, H Fan, J Wang, J Sun CVPR2021; Code: https://github.com/coolbeam/UPFlow_pytorch, 1045-1054, 2021 | 68 | 2021 |
| ADNet: Attention-guided deformable convolutional network for high dynamic range imaging Z Liu, W Lin, X Li, Q Rao, T Jiang, M Han, H Fan, J Sun, S Liu CVPRW2021; Code: https://github.com/liuzhen03/ADNet, 463-470, 2021 | 67 | 2021 |
Bing ZengUniversity of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
