Da Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 63

Top Topics

Transfer Learning

Semantic Segmentation

Domain Adaptation

Diffusion Models

Top Venues

IEEE Trans. Image Process.

Publications

Ruchika Chavhan, Da Li, Timothy M. Hospedales
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning. CoRR (2024)
Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR (2024)
Ruchika Chavhan, Ondrej Bohdal, Yongshuo Zong, Da Li, Timothy M. Hospedales
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted. CoRR (2024)
Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales
Neural Fine-Tuning Search for Few-Shot Learning. ICLR (2024)
Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales
Feed-Forward Latent Domain Adaptation. WACV (2024)
Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
FedL2P: Federated Learning to Personalize. CoRR (2023)
Minyoung Kim, Da Li, Timothy M. Hospedales
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. ICLR (2023)
Minyoung Kim, Da Li, Timothy M. Hospedales
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. CoRR (2023)
Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song
Sketch-based Video Object Segmentation: Benchmark and Analysis. BMVC (2023)
Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane
FedL2P: Federated Learning to Personalize. NeurIPS (2023)
Ruchika Chavhan, Henry Gouk, Da Li, Timothy M. Hospedales
Quality Diversity for Visual Pre-Training. ICCV (2023)
Fengyin Lin, Mingkang Li, Da Li, Timothy M. Hospedales, Yi-Zhe Song, Yonggang Qi
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. CVPR (2023)
Linus Ericsson, Da Li, Timothy M. Hospedales
Better Practices for Domain Adaptation. CoRR (2023)
Ondrej Bohdal, Da Li, Timothy M. Hospedales
Label Calibration for Semantic Segmentation Under Domain Shift. CoRR (2023)
Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CVPR (2023)
Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song
Sketch-based Video Object Segmentation: Benchmark and Analysis. CoRR (2023)
Zhihe Lu, Sen He, Da Li, Yi-Zhe Song, Tao Xiang
Prediction Calibration for Generalized Few-Shot Semantic Segmentation. IEEE Trans. Image Process. 32 (2023)
Zhihe Lu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation. IEEE Trans. Image Process. 32 (2023)
Zhongying Deng, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation. CoRR (2023)
Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales
Neural Fine-Tuning Search for Few-Shot Learning. CoRR (2023)
Linus Ericsson, Da Li, Timothy M. Hospedales
Better Practices for Domain Adaptation. AutoML (2023)
Fengyin Lin, Mingkang Li, Da Li, Timothy M. Hospedales, Yi-Zhe Song, Yonggang Qi
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. CoRR (2023)
Ondrej Bohdal, Da Li, Timothy M. Hospedales
Feed-Forward Source-Free Domain Adaptation via Class Prototypes. CoRR (2023)
Qiang Wang, Haoge Deng, Yonggang Qi, Da Li, Yi-Zhe Song
SketchKnitter: Vectorized Sketch Generation with Diffusion Models. ICLR (2023)
Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CoRR (2023)
Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang
Robust Target Training for Multi-Source Domain Adaptation. CoRR (2022)
Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales
Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention. CoRR (2022)
Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CVPR (2022)
Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song
Learning to Augment via Implicit Differentiation for Domain Generalization. BMVC (2022)
Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CoRR (2022)
Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang
Dynamic Instance Domain Adaptation. CoRR (2022)
Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. ICML (2022)
Zhihe Lu, Sen He, Da Li, Yi-Zhe Song, Tao Xiang
Prediction Calibration for Generalized Few-shot Semantic Segmentation. CoRR (2022)
Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang
Dynamic Instance Domain Adaptation. IEEE Trans. Image Process. 31 (2022)
Da Li, Henry Gouk, Timothy M. Hospedales
Finding lost DG: Explaining domain generalization via model complexity. CoRR (2022)
Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
Attacking Adversarial Defences by Smoothing the Loss Landscape. CoRR (2022)
Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang
Robust Target Training for Multi-Source Domain Adaptation. BMVC (2022)
Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song
Learning to Augment via Implicit Differentiation for Domain Generalization. CoRR (2022)
Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. CoRR (2022)
Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales
Federated Learning for Inference at Anytime and Anywhere. CoRR (2022)
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
A Channel Coding Benchmark for Meta-Learning. CoRR (2021)
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
A Channel Coding Benchmark for Meta-Learning. NeurIPS Datasets and Benchmarks (2021)
Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
Weight-covariance alignment for adversarially robust neural networks. ICML (2021)
Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang
Simple and Effective Stochastic Neural Networks. AAAI (2021)
Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales
A Simple Feature Augmentation for Domain Generalization. ICCV (2021)
Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness. CoRR (2020)
Da Li, Timothy M. Hospedales
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation. CoRR (2020)
Da Li, Timothy M. Hospedales
Online Meta-learning for Multi-source and Semi-supervised Domain Adaptation. ECCV (16) (2020)
Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
Sequential Learning for Domain Generalization. CoRR (2020)
Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
Sequential Learning for Domain Generalization. ECCV Workshops (1) (2020)
Conghui Hu, Da Li, Yongxin Yang, Timothy M. Hospedales, Yi-Zhe Song
Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation. IEEE Trans. Image Process. 29 (2020)
Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales
Episodic Training for Domain Generalization. CoRR (2019)
Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
Robust Person Re-Identification by Modelling Feature Uncertainty. ICCV (2019)
Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales
Episodic Training for Domain Generalization. ICCV (2019)
Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
Sketch-a-Classifier: Sketch-Based Photo Classifier Generation. CVPR (2018)
Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
Deep Factorised Inverse-Sketching. CoRR (2018)
Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
Learning to Generalize: Meta-Learning for Domain Generalization. AAAI (2018)
Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
Deep Factorised Inverse-Sketching. ECCV (15) (2018)
Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
Sketch-a-Classifier: Sketch-based Photo Classifier Generation. CoRR (2018)
Conghui Hu, Da Li, Yi-Zhe Song, Timothy M. Hospedales
Now You See Me: Deep Face Hallucination for Unviewed Sketches. BMVC (2017)
Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
Deeper, Broader and Artier Domain Generalization. CoRR (2017)
Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
Learning to Generalize: Meta-Learning for Domain Generalization. CoRR (2017)
Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
Deeper, Broader and Artier Domain Generalization. ICCV (2017)