Yongxin Yang

发表

Learning to Generalize: Meta-Learning for Domain Generalization

Yongxin Yang, Timothy M. Hospedales, Yi-Zhe Song, 2017, AAAI.

Online Meta-Critic Learning for Off-Policy Actor-Critic Methods

Timothy M. Hospedales, Huaimin Wang, Yongxin Yang, 2020, NeurIPS.

DADA: Differentiable Automatic Data Augmentation pdf

Timothy Hospedales, Timothy M. Hospedales, Guosheng Hu, 2020, ECCV 2020.

Explorer Learning Deep Sketch Abstraction

Timothy M. Hospedales, Yi-Zhe Song, T. Xiang, 2018 .

Attributes : Whiskers , Tail Category : Cat Attributes : Big eyes Category : Owl Attributes : Big eyes Category : Panda Attributes : Long legs , Stripes , Whiskers , Tail Category : Tiger

Timothy M. Hospedales, Yi-Zhe Song, T. Xiang, 2019 .

anger disgustfear happiness sadness surprise angry happy sad helplessscared surprised anxious arrogant hesitantindifferent questioning suspicious thinking

Timothy M. Hospedales, Zhi-hong, Zhihong, 2018 .

Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images

Steven G. McDonagh, A. Leonardis, Yongxin Yang, 2021, 2106.10070.

Flexible Dataset Distillation: Learn Labels Instead of Images pdf

Yongxin Yang, Timothy Hospedales, Timothy M. Hospedales, 2020, ArXiv.

SketchODE: Learning neural sketch representation in continuous time

Timothy M. Hospedales, Yongxin Yang, Ayan Das, 2022, ICLR.

A U Nified P Erspective on M Ulti-d Omain and M Ulti-t Ask L Earning

Yongxin Yang, 2018 .

Supplementary Material: Long-tail Recognition via Compositional Knowledge Transfer

Steven G. McDonagh, T. Madarász, Yongxin Yang, 2022 .

Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error

Timothy M. Hospedales, Yongxin Yang, Ondrej Bohdal, 2021, ArXiv.

Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identification

Yongxin Yang, Timothy M. Hospedales, Guosheng Hu, 2020, ECCV Workshops.

Edinburgh Research Explorer Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach

Timothy M. Hospedales, Yongxin Yang, Yu Zheng, 2019 .

Edinburgh Research Explorer Episodic Training for Domain Generalization

Timothy M. Hospedales, Da Li, Yongxin Yang, 2019 .

MEDFAIR: Benchmarking Fairness for Medical Imaging

Timothy M. Hospedales, Yongxin Yang, Yongshuo Zong, 2022, 2210.01725.

The Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)

Yu Zheng, Timothy M. Hospedales, Yongxin Yang, 2017 .

Loss Function Learning for Domain Generalization by Implicit Gradient

Timothy M. Hospedales, Yongxin Yang, Henry Gouk, 2022, ICML.

Simple and Effective Stochastic Neural Networks

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2019, AAAI.

Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection

Yongxin Yang, Xiongjie Chen, Yunpeng Li, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Edinburgh Research Explorer Diversity and Sparsity: A New Perspective on Index Tracking

Timothy M. Hospedales, Yongxin Yang, Yu Zheng, 2022 .

Episodic Training for Domain Generalization

Yongxin Yang, Timothy M. Hospedales, Yi-Zhe Song, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Learning to Compare: Relation Network for Few-Shot Learning

Tao Xiang, Yongxin Yang, Philip H. S. Torr, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Sequential Learning for Domain Generalization

Yongxin Yang, Timothy Hospedales, Timothy M. Hospedales, 2020, ECCV Workshops.

Disjoint Label Space Transfer Learning with Common Factorised Space

Tao Xiang, Yongxin Yang, Xiaobin Chang, 2018, AAAI.

When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition

William J. Christmas, Yongxin Yang, Timothy M. Hospedales, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Deeper, Broader and Artier Domain Generalization

Yongxin Yang, Timothy M. Hospedales, Yi-Zhe Song, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Domain Adaptive Ensemble Learning

Tao Xiang, Yongxin Yang, Kaiyang Zhou, 2020, IEEE Transactions on Image Processing.

Deep Neural Decision Trees pdf

Yongxin Yang, Timothy M. Hospedales, Irene Garcia Morillo, 2018, ArXiv.

Omni-Scale Feature Learning for Person Re-Identification

Andrea Cavallaro, Tao Xiang, Yongxin Yang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Deep Multi-task Representation Learning: A Tensor Factorisation Approach pdf

Yongxin Yang, Timothy M. Hospedales, Yongxin Yang, 2016, ICLR.

Learning to Generate Novel Domains for Domain Generalization

Timothy M. Hospedales, T. Xiang, Yongxin Yang, 2020, ECCV.

More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval

Tao Xiang, Yongxin Yang, Ayan Kumar Bhunia, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval

Timothy M. Hospedales, Yi-Zhe Song, T. Xiang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Generalising Fine-Grained Sketch-Based Image Retrieval

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Sketch-a-Net: A Deep Neural Network that Beats Humans

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2017, International Journal of Computer Vision.

BézierSketch: A generative model for scalable vector sketches pdf

Tao Xiang, Yongxin Yang, Timothy Hospedales, 2020, ECCV.

Domain Generalization with MixStyle

Y. Qiao, T. Xiang, Yongxin Yang, 2021, ICLR.

Toward Fine-Grained Sketch-Based 3D Shape Retrieval

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2021, IEEE Transactions on Image Processing.

Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Pixelor

Timothy M. Hospedales, Timothy M. Hospedales, Yi-Zhe Song, 2020, ACM Trans. Graph..

Sketch-a-Net that Beats Humans

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2015, BMVC.

Domain Attention Consistency for Multi-Source Domain Adaptation pdf

Tao Xiang, Yongxin Yang, Kaiyang Zhou, 2021, BMVC.

MixStyle Neural Networks for Domain Generalization and Adaptation pdf

Tao Xiang, Yongxin Yang, Kaiyang Zhou, 2021, ArXiv.

Learning Generalisable Omni-Scale Representations for Person Re-Identification

T. Xiang, Yongxin Yang, A. Cavallaro, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Stochastic Classifiers for Unsupervised Domain Adaptation

Tao Xiang, Yongxin Yang, Yi-Zhe Song, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Domain-Adversarial Image Generation for Domain Generalisation

Tao Xiang, Yongxin Yang, Kaiyang Zhou, 2020, AAAI.

Generalizable Person Re-Identification by Domain-Invariant Mapping Network

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Feature-Critic Networks for Heterogeneous Domain Generalization

Wei Zhou, Yongxin Yang, Timothy M. Hospedales, 2019, ICML.

Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States

Ling Shao, Fumin Shen, Yongxin Yang, 2018, ECCV.

Learning to Learn: Meta-Critic Networks for Sample Efficient Learning pdf

Li Zhang, Tao Xiang, Yongxin Yang, 2017, ArXiv.

Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Trace Norm Regularised Deep Multi-Task Learning pdf

Yongxin Yang, Timothy M. Hospedales, Yongxin Yang, 2016, ICLR.

StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval

Tao Xiang, Yongxin Yang, Ayan Kumar Bhunia, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval pdf

Tao Xiang, Yongxin Yang, Yi-Zhe Song, 2020, BMVC.

Learning Deep Sketch Abstraction

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Robust Person Re-Identification by Modelling Feature Uncertainty

Tao Xiang, Yongxin Yang, Tianyuan Yu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

A Tree-Structured Decoder for Image-to-Markup Generation

Yongxin Yang, Yi-Zhe Song, Jun Du, 2020, ICML.

Deep Clusteringwith Concrete K-Means

Timothy M. Hospedales, Yongxin Yang, Boyan Gao, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Differentiable Automatic Data Augmentation

Yongxin Yang, Timothy M. Hospedales, Guosheng Hu, 2020, ECCV.

Transductive Multi-label Zero-shot Learning pdf

Tao Xiang, Shaogang Gong, Yongxin Yang, 2014, BMVC.

Frankenstein: Learning Deep Face Representations Using Small Data

Yongxin Yang, Timothy M. Hospedales, Guosheng Hu, 2016, IEEE Transactions on Image Processing.

MEDFAIR: Benchmarking Fairness for Medical Imaging

Timothy M. Hospedales, Yongxin Yang, Yongshuo Zong, 2022, ICLR.

Actor-Critic Sequence Training for Image Captioning pdf

Feng Liu, Shaogang Gong, Li Zhang, 2017, ArXiv.

RelationNet2: Deep Comparison Columns for Few-Shot Learning.

Timothy M. Hospedales, Yongxin Yang, Xueting Zhang, 2018, 1811.07100.

EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization pdf

Yongxin Yang, Timothy Hospedales, Timothy M. Hospedales, 2021, NeurIPS.

RelationNet2: Deep Comparison Network for Few-Shot Learning

Yongxin Yang, Timothy Hospedales, Timothy M. Hospedales, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A Unified Perspective on Multi-Domain and Multi-Task Learning pdf

Yongxin Yang, Timothy M. Hospedales, Yongxin Yang, 2014, ICLR.

Deep Neural Networks for Sketch Recognition pdf

Yongxin Yang, Timothy M. Hospedales, Yongxin Yang, 2015, ArXiv.

Learning to Name Classes for Vision and Language Models

Steven G. McDonagh, Yongxin Yang, Sarah Parisot, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Context-Aware Layout to Image Generation with Enhanced Object Appearance

Bodo Rosenhahn, Tao Xiang, Michael Ying Yang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Gated deep neural networks for implied volatility surfaces pdf

Yu Zheng, Yongxin Yang, Bowei Chen, 2019, ArXiv.

Long-tail Recognition via Compositional Knowledge Transfer

Steven G. McDonagh, T. Madarász, Yongxin Yang, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Knowledge sharing: from atomic to parametrised context and shallow to deep models

Yongxin Yang, Yongxin Yang, 2017 .

ChiroDiff: Modelling chirographic data with Diffusion Models

Timothy M. Hospedales, Yongxin Yang, Ayan Das, 2023, ICLR.

Cloud2Curve: Generation and Vectorization of Parametric Sketches

Tao Xiang, Yongxin Yang, Timothy Hospedales, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Goal-Driven Sequential Data Abstraction

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

SRD: A Tree Structure Based Decoder for Online Handwritten Mathematical Expression Recognition

Yongxin Yang, Yi-Zhe Song, Jun Du, 2021, IEEE Transactions on Multimedia.

Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction

Yongxin Yang, Bowei Chen, Yu Zheng, 2019, KDD.

Weakly Supervised Learning of Objects, Attributes and Their Associations

Tao Xiang, Yongxin Yang, Timothy M. Hospedales, 2014, ECCV.

Residual Contrastive Learning for Joint Demosaicking and Denoising pdf

Ales Leonardis, Yongxin Yang, Matteo Maggioni, 2021, ArXiv.

Towards 3D VR-Sketch to 3D Shape Retrieval

Yi-Zhe Song, T. Xiang, Yongxin Yang, 2020, 2020 International Conference on 3D Vision (3DV).

Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error

Timothy M. Hospedales, Yongxin Yang, Ondrej Bohdal, 2021, 2106.09613.

Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks

Yongxin Yang, Zhihong Zhang, Yang Hua, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach

Yongxin Yang, Timothy M. Hospedales, Bowei Chen, 2019, AAAI.

Dynamic multi-period sparse portfolio selection model with asymmetric investors' sentiments

Yongxin Yang, Ju Wei, Mingzhu Jiang, 2021, Expert Syst. Appl..

Multivariate Regression on the Grassmannian for Predicting Novel Domains

Yongxin Yang, Timothy M. Hospedales, Yongxin Yang, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Comparison: Relation Columns for Few-Shot Learning pdf

Yongxin Yang, Timothy M. Hospedales, Xueting Zhang, 2018, ArXiv.

Index tracking with differentiable asset selection

Timothy M. Hospedales, Yongxin Yang, Qiuhua Xu, 2020, ICAIF.

Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian pdf

Yongxin Yang, Timothy M. Hospedales, Yongxin Yang, 2015, ArXiv.

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization

Yongxin Yang, Zhenguo Li, S. Bae, 2022, NeurIPS.

Learning to Generalize: Meta-Learning for Domain Generalization

Timothy M. Hospedales, Yi-Zhe Song, Da Li, 2017, AAAI.

MixStyle Neural Networks for Domain Generalization and Adaptation

Y. Qiao, T. Xiang, Yongxin Yang, 2021, Int. J. Comput. Vis..

Learning to Generalize: Meta-Learning for Domain Generalization

Timothy M. Hospedales, Yi-Zhe Song, Da Li, 2017, AAAI.

Pixelor

Timothy M. Hospedales, Yi-Zhe Song, T. Xiang, 2020 .

Augmented Sliced Wasserstein Distances

Yongxin Yang, Xiongjie Chen, Yunpeng Li, 2020, ICLR.

Fine-Grained VR Sketching: Dataset and Insights.

Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song, 2021, 2021 International Conference on 3D Vision (3DV).

Learning to Generate Novel Domains for Domain Generalization

Timothy M. Hospedales, Yongxin Yang, Kaiyang Zhou, 2020, ECCV.

Sketch-a-Net: A Deep Neural Network that Beats Humans

Timothy M. Hospedales, Yi-Zhe Song, T. Xiang, 2016, International Journal of Computer Vision.

Learning Generalisable Omni-Scale Representations for Person Re-Identification pdf

Tao Xiang, Yongxin Yang, Kaiyang Zhou, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Actor-Critic Sequence Training for Image Captioning

Timothy M. Hospedales, S. Gong, T. Xiang, 2017, ArXiv.

V " ( s $ ) I a $ ' ( ~ π , ( s $ ) Start token : a 5 End token : a 8 RNN Cell

S. Gong, T. Xiang, Yongxin Yang, 2017 .

Label-efficient object detection via region proposal network pre-training

Steven G. McDonagh, A. Leonardis, Yongxin Yang, 2022, Neurocomputing.

Transductive Multi-label Zero-shot Learning

Timothy M. Hospedales, S. Gong, T. Xiang, 2014, British Machine Vision Conference.

Transductive Multi-class and Multi-label Zero-shot Learning pdf

Shaogang Gong, Tao Xiang, Yongxin Yang, 2015, ArXiv.

DADA: Differentiable Automatic Data Augmentation

Timothy M. Hospedales, Yongxin Yang, Yonggang Li, 2020, ECCV.