| Bisenet: Bilateral segmentation network for real-time semantic segmentation C Yu, J Wang, C Peng, C Gao, G Yu, N Sang European Conference on Computer Vision (ECCV), 325-341, 2018 | 2763 | 2018 |
| Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation C Yu, C Gao, J Wang, G Yu, C Shen, N Sang International Journal of Computer Vision (IJCV), 2020 | 1219 | 2020 |
| Learning a discriminative feature network for semantic segmentation C Yu, J Wang, C Peng, C Gao, G Yu, N Sang IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 1857-1866, 2018 | 944 | 2018 |
| Lite-HRNet: A Lightweight High-Resolution Network C Yu, B Xiao, C Gao, L Yuan, L Zhang, N Sang, J Wang IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021 | 404 | 2021 |
| Context Prior for Scene Segmentation C Yu, J Wang, C Gao, G Yu, C Shen, N Sang IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2020 | 297 | 2020 |
| An end-to-end network for panoptic segmentation H Liu, C Peng, C Yu, J Wang, X Liu, G Yu, W Jiang IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 6172-6181, 2019 | 196 | 2019 |
| Efficient Semantic Video Segmentation with Per-frame Inference Y Liu, C Shen, C Yu, J Wang European Conference on Computer Vision (ECCV), 2020 | 151 | 2020 |
| Core: Consistent representation learning for face forgery detection Y Ni, D Meng, C Yu, C Quan, D Ren, Y Zhao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 57 | 2022 |
| Representative Graph Neural Network C Yu, Y Liu, C Gao, C Shen, N Sang European Conference on Computer Vision (ECCV), 2020 | 50 | 2020 |
| GANet: Goal Area Network for Motion Forecasting M Wang, X Zhu, C Yu, W Li, Y Ma, R Jin, X Ren, D Ren, M Wang, W Yang arXiv preprint arXiv:2209.09723, 2022 | 49 | 2022 |
| GTNet: Generative Transfer Network for Zero-Shot Object Detection S Zhao, C Gao, Y Shao, L Li, C Yu, Z Ji, N Sang AAAI Conf. Aritificial Intelligence, 2020, 2020 | 47 | 2020 |
| Plip: Language-image pre-training for person representation learning J Zuo, C Yu, N Sang, C Gao arXiv preprint arXiv:2305.08386, 2023 | 24 | 2023 |
| Scalable Diffusion Models with State Space Backbone Z Fei, M Fan, C Yu, J Huang arXiv preprint arXiv:2402.05608, 2024 | 20 | 2024 |
| Conditional boundary loss for semantic segmentation D Wu, Z Guo, A Li, C Yu, C Gao, N Sang IEEE Transactions on Image Processing, 2023 | 19 | 2023 |
| Attribute-specific control units in stylegan for fine-grained image manipulation R Wang, J Chen, G Yu, L Sun, C Yu, C Gao, N Sang Proceedings of the 29th ACM International Conference on Multimedia, 926-934, 2021 | 15 | 2021 |
| CondNet: Conditional classifier for scene segmentation C Yu, Y Shao, C Gao, N Sang IEEE Signal Processing Letters 28, 758-762, 2021 | 14 | 2021 |
| SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation Z Xu, D Wu, C Yu, X Chu, N Sang, C Gao Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 6378-6386, 2024 | 12 | 2024 |
| Diffusion-rwkv: Scaling rwkv-like architectures for diffusion models Z Fei, M Fan, C Yu, D Li, J Huang arXiv preprint arXiv:2404.04478, 2024 | 10 | 2024 |
| CSENet: Cascade semantic erasing network for weakly-supervised semantic segmentation J Liu, C Yu, B Yang, C Gao, N Sang Neurocomputing 453, 885-895, 2021 | 9 | 2021 |
| Pose-guided hierarchical semantic decomposition and composition for human parsing B Yang, C Yu, JG Yu, C Gao, N Sang IEEE Transactions on Cybernetics 53 (3), 1641-1652, 2021 | 7 | 2021 |
Changxin Gao (高常鑫)School of Artificial Intelligence and Automation, Huazhong University of Science & TechnologyBestätigte E-Mail-Adresse bei hust.edu.cn
