| Recent advances on loss functions in deep learning for computer vision Y Tian, D Su, S Lauria, X Liu Neurocomputing 497, 129-158, 2022 | 119 | 2022 |
| D^4M: Dataset Distillation via Disentangled Diffusion Model D Su, J Hou, W Gao, Y Tian, B Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 14 | 2024 |
| Linear-exponential loss incorporated deep learning for imbalanced classification S Fu, D Su, S Li, S Sun, Y Tian ISA transactions 140, 279-292, 2023 | 9 | 2023 |
| Generative dataset distillation based on diffusion model D Su, J Hou, G Li, R Togo, R Song, T Ogawa, M Haseyama The 18th European Conference on Computer Vision (ECCV 2024) The First …, 2024 | 5 | 2024 |
| Adaptive robust loss for landmark detection Y Tian, D Su, S Li Information Fusion 101, 102013, 2024 | 2 | 2024 |
| Unified Image Harmonization with Region Augmented Attention Normalization J Hou, Y Zhang, D Su Annals of Data Science 11 (5), 1865-1886, 2024 | 1 | 2024 |
| Sparse Multiple Instance Learning for Elderly People Balance Ability Y Zhang, D Su, X Zhao, Y Tian Procedia Computer Science 199, 621-628, 2022 | 1 | 2022 |
| Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective S Xie, W Zu, M Zhao, D Su, S Liu, R Shi, G Li, S Zhang, L Ma arXiv preprint arXiv:2410.22217, 2024 | | 2024 |
| Picture For Proof (PFPs): Aesthetics, IP and post launch performance Y Tian, Y Xie, D Su, X Zhao Finance Research Letters 55, 103974, 2023 | | 2023 |
Ying-Jie TianUniversity of Chinese Academy of SciencesEmail được xác minh tại ucas.ac.cn