Da Li

Shell Xu Hu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Prediction Calibration for Generalized Few-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Label Calibration for Semantic Segmentation Under Domain Shift.

[BibT_eX]

[DOI]

CoRR, 2023

Feed-Forward Source-Free Domain Adaptation via Class Prototypes.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Fine-Tuning Search for Few-Shot Learning.

[BibT_eX]

[DOI]

Lukasz Dudziak

CoRR, 2023

Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

FedL2P: Federated Learning to Personalize.

[BibT_eX]

[DOI]

Ferenc Huszar

Nicholas D. Lane

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SketchKnitter: Vectorized Sketch Generation with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach.

[BibT_eX]

[DOI]

Minyoung Kim

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Quality Diversity for Visual Pre-Training.

[BibT_eX]

[DOI]

Ruchika Chavhan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style.

[BibT_eX]

[DOI]

Fengyin Lin

Mingkang Li

Yonggang Qi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Sketch-based Video Object Segmentation: Benchmark and Analysis.

[BibT_eX]

[DOI]

Ruolin Yang

Conghui Hu

Honggang Zhang

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Better Practices for Domain Adaptation.

[BibT_eX]

[DOI]

Linus Ericsson

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Dynamic Instance Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Federated Learning for Inference at Anytime and Anywhere.

[BibT_eX]

[DOI]

Zicheng Liu

Javier Fernández-Marqués

CoRR, 2022

Attacking Adversarial Defences by Smoothing the Loss Landscape.

[BibT_eX]

[DOI]

CoRR, 2022

Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention.

[BibT_eX]

[DOI]

Shell Xu Hu

CoRR, 2022

Finding lost DG: Explaining domain generalization via model complexity.

[BibT_eX]

[DOI]

CoRR, 2022

Fisher SAM: Information Geometry and Sharpness Aware Minimisation.

[BibT_eX]

[DOI]

Minyoung Kim

Shell Xu Hu

Proceedings of the International Conference on Machine Learning, 2022

Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Augment via Implicit Differentiation for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Robust Target Training for Multi-Source Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

A Channel Coding Benchmark for Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Weight-covariance alignment for adversarially robust neural networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

A Simple Feature Augmentation for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Simple and Effective Stochastic Neural Networks.

[BibT_eX]

[DOI]

Tianyuan Yu

Tao Xiang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation.

[BibT_eX]

[DOI]

Conghui Hu

IEEE Trans. Image Process., 2020

A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2020

Sequential Learning for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Online Meta-learning for Multi-source and Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Robust Person Re-Identification by Modelling Feature Uncertainty.

[BibT_eX]

[DOI]

Tianyuan Yu

Tao Xiang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Episodic Training for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deep Factorised Inverse-Sketching.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Sketch-a-Classifier: Sketch-Based Photo Classifier Generation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to Generalize: Meta-Learning for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Deeper, Broader and Artier Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Now You See Me: Deep Face Hallucination for Unviewed Sketches.

[BibT_eX]

[DOI]

Conghui Hu