| Segstereo: Exploiting semantic information for disparity estimation G Yang, H Zhao, J Shi, Z Deng, J Jia Proceedings of the European Conference on Computer Vision (ECCV), 636-651, 2018 | 177 | 2018 |
| Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios G Yang, X Song, C Huang, Z Deng, J Shi, B Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 40 | 2019 |
| Drivable road detection based on dilated FPN with feature aggregation X Liu, Z Deng, G Yang 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 10 | 2017 |
| AdaStereo: a simple and efficient approach for adaptive stereo matching X Song, G Yang, X Zhu, H Zhou, Z Wang, J Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 9 | 2021 |
| Src-disp: Synthetic-realistic collaborative disparity learning for stereo matching G Yang, Z Deng, H Lu, Z Li Asian Conference on Computer Vision, 707-723, 2018 | 4 | 2018 |
| Masked label learning for optical flow regression G Yang, Z Deng, S Wang, Z Li 2018 24th International Conference on Pattern Recognition (ICPR), 1139-1144, 2018 | 1 | 2018 |
| End-to-End Disparity Estimation with Multi-granularity Fully Convolutional Network G Yang, Z Deng International Conference on Neural Information Processing, 238-248, 2017 | 1 | 2017 |
| A Computational Model of Match Decision-Making Problem Using Spiking SHESN with Reward-Modulated Reinforcement Learning Z Deng, G Yang International Conference on Neural Information Processing, 512-521, 2015 | | 2015 |
| DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios–Supplementary Material G Yang, X Song, C Huang, Z Deng, J Shi, B Zhou | | |
| AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching–Supplementary Material X Song, G Yang, X Zhu, H Zhou, Z Wang, J Shi | | |
| SRC-Disp: Synthetic-Realistic Collaborative Disparity Learning for Stereo Matching Download PDF G Yang, Z Deng, H Lu, Z Li | | |
| Masked Label Learning for Optical Flow Regression Download PDF G Yang, Z Deng, S Wang, Z Li | | |
Zhidong DengProfessor of Computer Science, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
