| Cgnet: A light-weight context guided network for semantic segmentation T Wu, S Tang, R Zhang, J Cao, Y Zhang IEEE Transactions on Image Processing 30, 1169-1179, 2020 | 506 | 2020 |
| Scale-adaptive convolutions for scene parsing R Zhang, S Tang, Y Zhang, J Li, S Yan Proceedings of the IEEE International Conference on Computer Vision, 2031-2039, 2017 | 209 | 2017 |
| Visual-language prompt tuning with knowledge-guided context optimization H Yao, R Zhang, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 97 | 2023 |
| Domain-specific suppression for adaptive object detection Y Wang, R Zhang, S Zhang, M Li, YY Xia, XS Zhang, SL Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 86 | 2021 |
| Asymmetric GAN for unpaired image-to-image translation Y Li, S Tang, R Zhang, Y Zhang, J Li, S Yan IEEE Transactions on Image Processing 28 (12), 5881-5896, 2019 | 83 | 2019 |
| Distilling object detectors with feature richness D Zhixing, R Zhang, M Chang, X Liu, S Zhang, T Chen, Y Chen Advances in Neural Information Processing Systems 34, 5213-5224, 2021 | 58 | 2021 |
| Harmonic unpaired image-to-image translation R Zhang, T Pfister, J Li International Conference on Learning Representations, 2019 | 58 | 2019 |
| Tree-structured kronecker convolutional network for semantic segmentation T Wu, S Tang, R Zhang, J Cao, J Li 2019 IEEE International Conference on Multimedia and Expo (ICME), 940-945, 2019 | 50 | 2019 |
| Global-residual and local-boundary refinement networks for rectifying scene parsing predictions R Zhang, S Tang, M Lin, J Li, S Yan Proceedings of the 26th International Joint Conference on Artificial …, 2017 | 41 | 2017 |
| Fixed-point back-propagation training X Zhang, S Liu, R Zhang, C Liu, D Huang, S Zhou, J Guo, Q Guo, Z Du, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 39 | 2020 |
| DWM: A decomposable Winograd method for convolution acceleration D Huang, X Zhang, R Zhang, T Zhi, D He, J Guo, C Liu, Q Guo, Z Du, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4174-4181, 2020 | 27 | 2020 |
| Perspective-adaptive convolutions for scene parsing R Zhang, S Tang, Y Zhang, J Li, S Yan IEEE transactions on pattern analysis and machine intelligence 42 (4), 909-924, 2019 | 25 | 2019 |
| Style separation and synthesis via generative adversarial networks R Zhang, S Tang, Y Li, J Guo, Y Zhang, J Li, S Yan Proceedings of the 26th ACM international conference on Multimedia, 183-191, 2018 | 19 | 2018 |
| Unlearnable examples for diffusion models: Protect data from unauthorized exploitation Z Zhao, J Duan, X Hu, K Xu, C Wang, R Zhang, Z Du, Q Guo, Y Chen arXiv preprint arXiv:2306.01902, 2023 | 13 | 2023 |
| High Resolution Feature Recovering for Accelerating Urban Scene Parsing. R Zhang, S Tang, L Liu, Y Zhang, J Li, S Yan Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 12 | 2018 |
| Causality-driven hierarchical structure discovery for reinforcement learning S Peng, X Hu, R Zhang, K Tang, J Guo, Q Yi, R Chen, Z Du, L Li, Q Guo, ... Advances in Neural Information Processing Systems 35, 20064-20076, 2022 | 9 | 2022 |
| Hindsight value function for variance reduction in stochastic dynamic environment J Guo, R Zhang, X Zhang, S Peng, Q Yi, Z Du, X Hu, Q Guo, Y Chen Proceedings of the 27th International Joint Conference on Artificial …, 2021 | 9 | 2021 |
| Consensus feature network for scene parsing T Wu, S Tang, R Zhang, G Guo IEEE Transactions on Multimedia 24, 3208-3217, 2021 | 8 | 2021 |
| Object-category aware reinforcement learning Q Yi, R Zhang, S Peng, J Guo, X Hu, Z Du, Q Guo, Y Chen Advances in Neural Information Processing Systems 35, 36453-36465, 2022 | 7 | 2022 |
| 基于深度学习的场景分割算法研究综述 张蕊， 李锦涛 计算机研究与发展 57 (4), 859-875, 2020 | 7 | 2020 |
Zidong Du (杜子东)Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS)在 ict.ac.cn 的电子邮件经过验证
