Chengxi Yang
Chengxi Yang
SenseTime Research
在 的电子邮件经过验证
Cascade residual learning: A two-stage convolutional neural network for stereo matching
J Pang, W Sun, JSJ Ren, C Yang, Q Yan
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Zoom and learn: Generalizing deep stereo matching to novel domains
J Pang, W Sun, C Yang, J Ren, R Xiao, J Zeng, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Aim 2019 challenge on bokeh effect synthesis: Methods and results
A Ignatov, J Patel, R Timofte, B Zheng, X Ye, L Huang, X Tian, S Dutta, ...
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
Stereogan: Bridging synthetic-to-real domain gap by joint optimization of domain translation and stereo matching
R Liu, C Yang, W Sun, X Wang, H Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Deep end-to-end alignment and refinement for time-of-flight rgb-d module
D Qiu, J Pang, W Sun, C Yang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Unsupervised stereo matching with occlusion-aware loss
N Luo, C Yang, W Sun, B Song
Pacific Rim International Conference on Artificial Intelligence, 746-758, 2018
Towards Geometry Guided Neural Relighting with Flash Photography
D Qiu, J Zeng, Z Ke, W Sun, C Yang
arXiv preprint arXiv:2008.05157, 2020
Confidence Inference for Focused Learning in Stereo Matching
R Xiao, W Sun, C Yang
arXiv preprint arXiv:1809.09758, 2018
Matching low-quality photo to DSLR-quality with deep convolutional networks
W Xia, C Yang, Y Yang, W Sun
International Conference on AI and Mobile Services, 43-54, 2018
Image processing method and apparatus, electronic device, and storage medium
D Qiu, P Jiahao, C Yang, W Sun
US Patent App. 16/999,165, 2020
Supplementary Material for “Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains”
J Pang, W Sun, C Yang, JRR Xiao, JZL Lin
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