Hospedales, Timothy M.

55 publications

AAAI 2025 A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Minyoung Kim, Timothy M. Hospedales

WACV 2023 Accelerating Self-Supervised Learning via Efficient Training Strategies Mustafa Taha Koçyiğit, Timothy M. Hospedales, Hakan Bilen

UAI 2023 Mixture of Normalizing Flows for European Option Pricing Yongxin Yang, Timothy M. Hospedales

ECML-PKDD 2023 On Calibration of Mathematical Finance Models by Hypernetworks Yongxin Yang, Timothy M. Hospedales

CVPR 2022 Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales

ICCV 2021 A Simple Feature Augmentation for Domain Generalization Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales

CVPR 2021 Cloud2Curve: Generation and Vectorization of Parametric Sketches Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song

CVPR 2021 How Well Do Self-Supervised Models Transfer? Linus Ericsson, Henry Gouk, Timothy M. Hospedales

AAAI 2021 Neural-Symbolic Integration: A Compositional Perspective Efthymia Tsamoura, Timothy M. Hospedales, Loizos Michael

CVPR 2021 NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces Miguel Jaques, Michael Burke, Timothy M. Hospedales

ICCV 2021 Searching for Robustness: Loss Learning for Noisy Classification Tasks Boyan Gao, Henry Gouk, Timothy M. Hospedales

ICCV 2021 Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales

AAAI 2021 Simple and Effective Stochastic Neural Networks Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang

CVPR 2021 Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song

ECCVW 2020 Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-Identification Xiao Gong, Guosheng Hu, Timothy M. Hospedales, Yongxin Yang

AAAI 2020 Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang

AAAI 2020 Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang

ICLR 2020 Optimising Neural Network Architectures for Provable Adversarial Robustness Henry Gouk, Timothy M. Hospedales

ECCVW 2020 Sequential Learning for Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales

CVPRW 2020 Unsupervised Batch Normalization Mustafa Taha Koçyigit, Laura Sevilla-Lara, Timothy M. Hospedales, Hakan Bilen

AAAI 2019 Disjoint Label Space Transfer Learning with Common Factorised Space Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales

ECCV 2018 Deep Factorised Inverse-Sketching Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales

AAAI 2018 Learning to Generalize: Meta-Learning for Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales

ECCV 2018 Universal Sketch Perceptual Grouping Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang

CVPRW 2017 A Dataset for Persistent Multi-Target Multi-Camera Tracking in RGB-D Ryan Layne, Sion L. Hannuna, Massimo Camplani, Jake Hall, Timothy M. Hospedales, Tao Xiang, Majid Mirmehdi, Dima Damen

ICCV 2017 Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil M. Robertson, Yongxin Yang

ICLR 2017 Deep Multi-Task Representation Learning: A Tensor Factorisation Approach Yongxin Yang, Timothy M. Hospedales

ICCV 2017 Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval Jifei Song, Qian Yu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales

ICCV 2017 Deeper, Broader and Artier Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales

AAAI 2017 Gated Neural Networks for Option Pricing: Rationality by Design Yongxin Yang, Yu Zheng, Timothy M. Hospedales

CVPR 2017 Semantic Regularisation for Recurrent Image Annotation Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun

IJCAI 2017 Tensor Based Knowledge Transfer Across Skill Categories for Robot Control Chenyang Zhao, Timothy M. Hospedales, Freek Stulp, Olivier Sigaud

ICLR 2017 Trace Norm Regularised Deep Multi-Task Learning Yongxin Yang, Timothy M. Hospedales

WACV 2016 Fine-Grained Sketch-Based Image Retrieval: The Role of Part-Aware Attributes Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Honggang Zhang, Yichuan Hu

CVPR 2016 ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li

ECCV 2016 Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation Xun Xu, Timothy M. Hospedales, Shaogang Gong

CVPR 2016 Multivariate Regression on the Grassmannian for Predicting Novel Domains Yongxin Yang, Timothy M. Hospedales

CVPR 2016 Sketch Me That Shoe Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen-Change Loy

ICLR 2015 A Unified Perspective on Multi-Domain and Multi-Task Learning Yongxin Yang, Timothy M. Hospedales

UAI 2015 Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil

CVPR 2015 Transferring a Semantic Representation for Person Re-Identification and Search Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang

ICCVW 2015 When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales

ECCV 2014 Interestingness Prediction by Robust Learning to Rank Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong, Yuan Yao

ECCV 2014 Investigating Open-World Person Re-Identification Using a Drone Ryan Layne, Timothy M. Hospedales, Shaogang Gong

ECCVW 2014 Investigating Open-World Person Re-Identification Using a Drone Ryan Layne, Timothy M. Hospedales, Shaogang Gong

ECCV 2014 Transductive Multi-View Embedding for Zero-Shot Recognition and Annotation Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Zhen-Yong Fu, Shaogang Gong

ECCV 2014 Weakly Supervised Learning of Objects, Attributes and Their Associations Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang

ICCV 2013 Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang

ECCV 2012 A Unifying Theory of Active Discovery and Learning Timothy M. Hospedales, Shaogang Gong, Tao Xiang

ECCV 2012 Attribute Learning for Understanding Unstructured Social Activity Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong

CVPR 2012 Stream-Based Joint Exploration-Exploitation Active Learning Chen Change Loy, Timothy M. Hospedales, Tao Xiang, Shaogang Gong

ECCV 2012 Towards Person Identification and Re-Identification with Attributes Ryan Layne, Timothy M. Hospedales, Shaogang Gong

ECCVW 2012 Towards Person Identification and Re-Identification with Attributes Ryan Layne, Timothy M. Hospedales, Shaogang Gong

ICCV 2009 A Markov Clustering Topic Model for Mining Behaviour in Video Timothy M. Hospedales, Shaogang Gong, Tao Xiang

IJCAI 2007 Structure Inference for Bayesian Multisensory Perception and Tracking Timothy M. Hospedales, Joel J. Cartwright, Sethu Vijayakumar