| Structured knowledge distillation for semantic segmentation Y Liu, K Chen, C Liu, Z Qin, Z Luo, J Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 876 | 2019 |
| Enforcing geometric constraints of virtual normal for depth prediction W Yin, Y Liu, C Shen, Y Yan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 568 | 2019 |
| Channel-wise Distillation for Dense Prediction C Shu, Y Liu, J Gao, Z Yan, C Shen Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 324 | 2021 |
| Segment anything in high quality L Ke, M Ye, M Danelljan, YW Tai, CK Tang, F Yu Advances in Neural Information Processing Systems 36, 2024 | 312 | 2024 |
| Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks Y Liu, Z Qin, T Wan, Z Luo Neurocomputing 311, 78-87, 2018 | 279* | 2018 |
| Emotion classification with data augmentation using generative adversarial networks X Zhu, Y Liu, J Li, T Wan, Z Qin Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 252 | 2018 |
| Zegclip: Towards adapting clip for zero-shot semantic segmentation Z Zhou, Y Lei, B Zhang, L Liu, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 209 | 2023 |
| Efficient semantic video segmentation with per-frame inference Y Liu, C Shen, C Yu, J Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 158 | 2020 |
| A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation J Yuan, Y Liu, C Shen, Z Wang, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 138 | 2021 |
| SegViT: Semantic Segmentation with Plain Vision Transformers B Zhang, Z Tian, Q Tang, X Chu, X Wei, C Shen, Y Liu Thirty-sixth Conference on Neural Information Processing Systems, 2022 | 136 | 2022 |
| Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction W Yin, Y Liu, C Shen TPAMI, 2021 | 84 | 2021 |
| Diversedepth: Affine-invariant depth prediction using diverse data W Yin, X Wang, C Shen, Y Liu, Z Tian, S Xu, C Sun, D Renyin arXiv preprint arXiv:2002.00569, 2020 | 65 | 2020 |
| Pixel level data augmentation for semantic image segmentation using generative adversarial networks S Liu, J Zhang, Y Chen, Y Liu, Z Qin, T Wan ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 59 | 2019 |
| Representative graph neural network C Yu, Y Liu, C Gao, C Shen, N Sang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 53 | 2020 |
| Stock volatility prediction using recurrent neural networks with sentiment analysis Y Liu, Z Qin, P Li, T Wan Advances in Artificial Intelligence: From Theory to Practice: 30th …, 2017 | 50 | 2017 |
| Generic perceptual loss for modeling structured output dependencies Y Liu, H Chen, Y Chen, W Yin, C Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 45 | 2021 |
| MobileFAN: Transferring deep hidden representation for face alignment Y Zhao, Y Liu, C Shen, Y Gao, S Xiong Pattern Recognition 100, 107114, 2020 | 45 | 2020 |
| Towards accurate reconstruction of 3d scene shape from a single monocular image W Yin, J Zhang, O Wang, S Niklaus, S Chen, Y Liu, C Shen IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6480-6494, 2022 | 41 | 2022 |
| Controllable Shadow Generation Using Pixel Height Maps Y Sheng, Y Liu, J Zhang, W Yin, AC Oztireli, H Zhang, Z Lin, E Shechtman, ... ECCV, 2022 | 27 | 2022 |
| Segvit v2: Exploring efficient and continual semantic segmentation with plain vision transformers B Zhang, L Liu, MH Phan, Z Tian, C Shen, Y Liu International Journal of Computer Vision 132 (4), 1126-1147, 2024 | 24 | 2024 |
Chunhua ShenZhejiang UniversityZweryfikowany adres z zju.edu.cn