| Towards calibrated hyper-sphere representation via distribution overlap coefficient for long-tailed learning H Wang, S Fu, X He, H Fang, Z Liu, H Hu European Conference on Computer Vision, 179-196, 2022 | 15 | 2022 |
| Renovate yourself: Calibrating feature representation of misclassified pixels for semantic segmentation H Wang, H Chu, FU Siming, Z Liu, H Hu Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2450-2458, 2022 | 3 | 2022 |
| Meta-prototype decoupled training for long-tailed learning S Fu, H Chu, X He, H Wang, Z Yang, H Hu Proceedings of the Asian Conference on Computer Vision, 569-585, 2022 | 3 | 2022 |
| Class semantic enhancement network for semantic segmentation S Fu, H Wang, H Hu, X He, Y Long, J Bai, Y Ou, Y Huang, M Zhou Journal of Visual Communication and Image Representation 96, 103924, 2023 | 2 | 2023 |
| AuxBranch: Binarization residual-aware network design via auxiliary branch search S Fu, H Chu, L Yu, B Peng, Z Li, W Tan, H Hu Pattern Recognition 136, 109263, 2023 | 2 | 2023 |
| Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition X He, S Fu, X Ding, Y Cao, H Wang Proceedings of the 31st ACM International Conference on Multimedia, 5027-5037, 2023 | 1 | 2023 |
| Video Surveillance on Mobile Edge Networks: Exploiting Multi-Exit Network Y Cao, S Fu, X He, H Hu, H Shan, L Yu ICC 2023-IEEE International Conference on Communications, 6621-6626, 2023 | 1 | 2023 |
| Baseline-auxiliary Network Architecture Design Scheme to Compensate for Binarization Residual Errors S Fu, T Ni, H Hu Proceedings of the 2022 6th International Conference on Video and Image …, 2022 | | 2022 |
| Meta-BNS FOR Adversarial Data-Free Quantization S Fu, H Wang, Y Cao, H Hu, B Peng, W Tan, T Ye 2022 IEEE International Conference on Image Processing (ICIP), 4038-4042, 2022 | | 2022 |
| Ltb-Solver: Long-Tailed Bias Solver for Image Synthesis of Diffusion Models X He, S Fu, H Hu Available at SSRN 4822238, 0 | | |
| Unlocking the Power of Diffusion Models to Rescue Data Insufficiency for Long-Tailed Recognition S Fu, X He, J Bai, W Huang, S Zhu, H Hu | | |
