| Deeper, Broader and Artier Domain Generalization D Li, Y Yang, YZ Song, TM Hospedales ICCV 2017, 2017 | 905 | 2017 |
| Learning to generalize: Meta-learning for domain generalization D Li, Y Yang, YZ Song, TM Hospedales AAAI 2018, 2018 | 853 | 2018 |
| Episodic training for domain generalization D Li, J Zhang, Y Yang, C Liu, YZ Song, TM Hospedales ICCV 2019, 2019 | 351 | 2019 |
| Robust Person Re-identification by Modelling Feature Uncertainty T Yu, D Li, Y Yang, T Hospedales, T Xiang ICCV 2019, 2019 | 103 | 2019 |
| A Simple Feature Augmentation for Domain Generalization P Li*, D Li*, W Li, S Gong, Y Fu, TM Hospedales Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 61 | 2021 |
| Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation D Li, TM Hospedales ECCV 2020, 2020 | 54 | 2020 |
| Pushing the limits of simple pipelines for few-shot learning: External data and fine-tuning make a difference SX Hu, D Li, J Stühmer, M Kim, TM Hospedales Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 33 | 2022 |
| Sketch-a-classifier: sketch-based photo classifier generation C Hu, D Li, YZ Song, T Xiang, TM Hospedales CVPR 2018, 2018 | 19 | 2018 |
| Sequential Learning for Domain Generalization D Li, Y Yang, YZ Song, T Hospedales TASK-CV Workshop at ECCV 2020, 2020 | 17 | 2020 |
| Deep factorised inverse-sketching K Pang, D Li, J Song, YZ Song, T Xiang, TM Hospedales ECCV 2018, 2018 | 15 | 2018 |
| Simple and Effective Stochastic Neural Networks T Yu, Y Yang, D Li, T Hospedales, T Xiang AAAI 2021, 2021 | 14 | 2021 |
| Fisher sam: Information geometry and sharpness aware minimisation M Kim, D Li, SX Hu, T Hospedales International Conference on Machine Learning, 11148-11161, 2022 | 11 | 2022 |
| Weight-Covariance Alignment for Adversarially Robust Neural Networks P Eustratiadis, H Gouk, D Li, T Hospedales ICML 2021, 2021 | 10 | 2021 |
| Now You See Me: Deep Face Hallucination for Unviewed Sketches. C Hu, D Li, YZ Song, TM Hospedales BMVC 2017, 2017 | 10 | 2017 |
| Finding lost DG: Explaining domain generalization via model complexity D Li, H Gouk, T Hospedales arXiv preprint arXiv:2202.00563, 2022 | 8 | 2022 |
| Sketch-a-segmenter: Sketch-based photo segmenter generation C Hu, D Li, Y Yang, TM Hospedales, YZ Song IEEE transactions on image processing 29, 9470-9481, 2020 | 7 | 2020 |
| Dynamic instance domain adaptation Z Deng, K Zhou, D Li, J He, YZ Song, T Xiang IEEE Transactions on Image Processing 31, 4585-4597, 2022 | 5 | 2022 |
| A channel coding benchmark for meta-learning R Li, O Bohdal, R Mishra, H Kim, D Li, N Lane, T Hospedales arXiv preprint arXiv:2107.07579, 2021 | 5 | 2021 |
| Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention O Bohdal, D Li, SX Hu, T Hospedales arXiv preprint arXiv:2207.07624, 2022 | 4 | 2022 |
| Prediction Calibration for Generalized Few-shot Semantic Segmentation Z Lu, S He, D Li, YZ Song, T Xiang arXiv preprint arXiv:2210.08290, 2022 | 1 | 2022 |
Timothy M. HospedalesProfessor, University of Edinburgh; Samsung AI Research在 ed.ac.uk 的电子邮件经过验证
