| 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 | 458 | 2020 |
| Hierarchical pyramid diverse attention networks for face recognition Q Wang, T Wu, H Zheng, G Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 78 | 2020 |
| Pale transformer: A general vision transformer backbone with pale-shaped attention S Wu, T Wu, H Tan, G Guo Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2731-2739, 2022 | 47 | 2022 |
| 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 | 46 | 2019 |
| Fully transformer networks for semantic image segmentation S Wu, T Wu, F Lin, S Tian, G Guo arXiv preprint arXiv:2106.04108, 2021 | 39 | 2021 |
| GINet: Graph interaction network for scene parsing T Wu, Y Lu, Y Zhu, C Zhang, M Wu, Z Ma, G Guo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 39 | 2020 |
| Sparse to dense motion transfer for face image animation R Zhao, T Wu, G Guo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 21 | 2021 |
| Ugan: Untraceable gan for multi-domain face translation D Zhu, S Liu, W Jiang, C Gao, T Wu, Q Wang, G Guo arXiv preprint arXiv:1907.11418, 2019 | 20 | 2019 |
| Catrans: context and affinity transformer for few-shot segmentation S Zhang, T Wu, S Wu, G Guo Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 18 | 2022 |
| Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention X Liu, T Wu, G Guo Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 10 | 2022 |
| Dynamic group transformer: A general vision transformer backbone with dynamic group attention K Liu, T Wu, C Liu, G Guo Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 10 | 2022 |
| Region-level contrastive and consistency learning for semi-supervised semantic segmentation J Zhang, T Wu, C Ding, H Zhao, G Guo Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 9 | 2022 |
| Consensus feature network for scene parsing T Wu, S Tang, R Zhang, G Guo IEEE Transactions on Multimedia 24, 3208-3217, 2021 | 8 | 2021 |
| Feature selective transformer for semantic image segmentation F Lin, T Wu, S Wu, S Tian, G Guo arXiv preprint arXiv:2203.14124, 2022 | 4 | 2022 |
| Method for processing signal, electronic device, and storage medium T Wu, S Wu, G Guo US Patent App. 18/050,672, 2023 | | 2023 |
| Method and apparatus for training semantic segmentation model, and method and apparatus for performing semantic segmentation on video T Wu, Y Zhu, G Guo US Patent App. 17/985,000, 2023 | | 2023 |
| Method for training student network and method for recognizing image T Wu, Y Zhu, G Guo US Patent App. 17/975,874, 2023 | | 2023 |
| HagSeg: Hardness-adaptive Guidance for Semi-supervised Semantic Segmentation Z Zhao, T Wu, J Pi, S Long, L Zhou, J Wang | | 2022 |
| Supplementary Material for “Graph Interaction Network for Scene Parsing” T Wu, Y Lu, Y Zhu, C Zhang, ZM MingWu, G Guo | | 2020 |
| Learning to Recognize the Unseen Visual Predicates D Zhu, S Liu, W Jiang, G Li, T Wu, G Guo | | 2019 |
Guodong GuoProfessor of Computer Science and Electrical Engineering, West Virginia UniversityVerified email at mail.wvu.edu
