Timothy M. Hospedales
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
161
Venues
25
Active years
2007–2026
Best venue rank
A*
Where they publish
- A*CVPR35 papers
- ABMVC20 papers
- A*ICLR19 papers
- A*ECCV17 papers
- A*ICCV14 papers
- A*AAAI9 papers
- A*ICML9 papers
- AWACV5 papers
- MulticonferenceICASSP5 papers
- A*EMNLP4 papers
- CICANN3 papers
- A*ICRA3 papers
- BIJCNN2 papers
- AUAI2 papers
- BICIP2 papers
- A*IJCAI2 papers
- BACCV2 papers
- BLREC1 paper
- AInterspeech1 paper
- CNeSy1 paper
- CACML1 paper
- AIROS1 paper
- BICPR1 paper
- A*ICDM1 paper
- BPAKDD1 paper
Papers
161 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs. | Royson Lee, Minyoung Kim, Fady Rezk, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales |
| 2026 | LREC | MUStReason: A Benchmark for Diagnosing Pragmatic Reasoning in VideoLMs for Multimodal Sarcasm Detection. | Anisha Saha, Varsha Suresh, Timothy M. Hospedales, Vera Demberg |
| 2025 | AAAI | A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning. | Minyoung Kim, Timothy M. Hospedales |
| 2025 | ICCV | FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization. | Hao Mark Chen, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan |
| 2025 | ICLR | ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning. | Ruchika Chavhan, Da Li, Timothy M. Hospedales |
| 2025 | ICLR | LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning. | Minyoung Kim, Timothy M. Hospedales |
| 2025 | ICLR | VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning. | Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales |
| 2025 | ICML | HyperIV: Real-time Implied Volatility Smoothing. | Yongxin Yang, Wenqi Chen, Chao Shu, Timothy M. Hospedales |
| 2025 | WACV | MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection. | Raman Dutt, Ondrej Bohdal, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales |
| 2024 | CVPR | SketchINR: A First Look into Sketches as Implicit Neural Representations. | Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song |
| 2024 | CVPR | DemoFusion: Democratising High-Resolution Image Generation With No $$$. | Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma |
| 2024 | EMNLP | MobileQuant: Mobile-friendly Quantization for On-device Language Models. | Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martnez |
| 2024 | ICASSP | On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. | Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi |
| 2024 | ICLR | FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. | Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales |
| 2024 | ICLR | Neural Fine-Tuning Search for Few-Shot Learning. | Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales |
| 2024 | ICLR | A Hierarchical Bayesian Model for Few-Shot Meta Learning. | Minyoung Kim, Timothy M. Hospedales |
| 2024 | ICML | Recurrent Early Exits for Federated Learning with Heterogeneous Clients. | Royson Lee, Javier Fernndez-Marqus, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszr, Nicholas Donald Lane |
| 2024 | ICML | Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. | Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales |
| 2024 | ICML | Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations. | Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy M. Hospedales |
| 2024 | IJCNN | From Pixels to Waveforms: Evaluating Pre-trained Image Models for Few-Shot Audio Classification. | Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi |
| 2024 | WACV | Feed-Forward Latent Domain Adaptation. | Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales |
| 2024 | WACV | Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. | Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszr, Nicholas D. Lane |
| 2023 | BMVC | Sketch-based Video Object Segmentation: Benchmark and Analysis. | Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song |
| 2023 | CVPR | Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. | Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales |
| 2023 | CVPR | An Erudite Fine-Grained Visual Classification Model. | Dongliang Chang, Yujun Tong, Ruoyi Du, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma |
| 2023 | CVPR | On-the-Fly Category Discovery. | Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma |
| 2023 | CVPR | Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. | Fengyin Lin, Mingkang Li, Da Li, Timothy M. Hospedales, Yi-Zhe Song, Yonggang Qi |
| 2023 | ICANN | An Evaluation of Self-supervised Learning for Portfolio Diversification. | Yongxin Yang, Timothy M. Hospedales |
| 2023 | ICCV | Quality Diversity for Visual Pre-Training. | Ruchika Chavhan, Henry Gouk, Da Li, Timothy M. Hospedales |
| 2023 | ICCV | Task-aware Adaptive Learning for Cross-domain Few-shot Learning. | Yurong Guo, Ruoyi Du, Yuan Dong, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma |
| 2023 | ICLR | ChiroDiff: Modelling chirographic data with Diffusion Models. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2023 | ICLR | Amortised Invariance Learning for Contrastive Self-Supervision. | Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales |
| 2023 | ICLR | Learning where and when to reason in neuro-symbolic inference. | Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy M. Hospedales |
| 2023 | ICLR | Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. | Minyoung Kim, Da Li, Timothy M. Hospedales |
| 2023 | ICLR | MEDFAIR: Benchmarking Fairness for Medical Imaging. | Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales |
| 2023 | Interspeech | MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. | Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi |
| 2023 | NeSy | Learning Where and When to Reason in Neuro-Symbolic Inference. | Cristina Cornelio, Jan Sthmer, Shell Xu Hu, Timothy M. Hospedales |
| 2023 | WACV | Accelerating Self-Supervised Learning via Efficient Training Strategies. | Mustafa Taha Koyigit, Timothy M. Hospedales, Hakan Bilen |
| 2023 | UAI | Mixture of Normalizing Flows for European Option Pricing. | Yongxin Yang, Timothy M. Hospedales |
| 2022 | BMVC | Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks. | Linus Ericsson, Henry Gouk, Timothy M. Hospedales |
| 2022 | BMVC | Towards Unsupervised Sketch-based Image Retrieval. | Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song |
| 2022 | CVPR | Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. | Shell Xu Hu, Da Li, Jan Sthmer, Minyoung Kim, Timothy M. Hospedales |
| 2022 | ICANN | MetaAudio: A Few-Shot Audio Classification Benchmark. | Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi |
| 2022 | ICLR | SketchODE: Learning neural sketch representation in continuous time. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2022 | ICLR | Visual Representation Learning over Latent Domains. | Lucas Deecke, Timothy M. Hospedales, Hakan Bilen |
| 2022 | ICLR | Online Hyperparameter Meta-Learning with Hypergradient Distillation. | Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang |
| 2022 | ICML | Loss Function Learning for Domain Generalization by Implicit Gradient. | Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales |
| 2022 | ICML | Fisher SAM: Information Geometry and Sharpness Aware Minimisation. | Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales |
| 2021 | AAAI | Neural-Symbolic Integration: A Compositional Perspective. | Efthymia Tsamoura, Timothy M. Hospedales, Loizos Michael |
| 2021 | AAAI | Simple and Effective Stochastic Neural Networks. | Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang |
| 2021 | ACML | Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation. | Chenyang Zhao, Timothy M. Hospedales |
| 2021 | BMVC | Defensive Tensorization. | Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic |
| 2021 | BMVC | Tensor Composition Net for Visual Relationship Prediction. | Yuting Qiang, Yongxin Yang, Xueting Zhang, Yanwen Guo, Timothy M. Hospedales |
| 2021 | CVPR | Cloud2Curve: Generation and Vectorization of Parametric Sketches. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2021 | CVPR | 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 |
| 2021 | CVPR | How Well Do Self-Supervised Models Transfer? | Linus Ericsson, Henry Gouk, Timothy M. Hospedales |
| 2021 | CVPR | NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces. | Miguel Jaques, Michael Burke, Timothy M. Hospedales |
| 2021 | ICCV | Searching for Robustness: Loss Learning for Noisy Classification Tasks. | Boyan Gao, Henry Gouk, Timothy M. Hospedales |
| 2021 | ICCV | A Simple Feature Augmentation for Domain Generalization. | Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales |
| 2021 | ICCV | Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. | Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales |
| 2021 | ICLR | Interpreting Knowledge Graph Relation Representation from Word Embeddings. | Carl Allen, Ivana Balazevic, Timothy M. Hospedales |
| 2021 | ICLR | Distance-Based Regularisation of Deep Networks for Fine-Tuning. | Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil |
| 2021 | ICML | Weight-covariance alignment for adversarially robust neural networks. | Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales |
| 2020 | AAAI | Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. | Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang |
| 2020 | AAAI | Deep Domain-Adversarial Image Generation for Domain Generalisation. | Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |
| 2020 | BMVC | ALBA: Reinforcement Learning for Video Object Segmentation. | Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara |
| 2020 | CVPR | Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. | Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2020 | CVPR | Unsupervised Batch Normalization. | Mustafa Taha Koyigit, Laura Sevilla-Lara, Timothy M. Hospedales, Hakan Bilen |
| 2020 | CVPR | Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation. | Jean Kossaifi, Antoine Toisoul, Adrian Bulat, Yannis Panagakis, Timothy M. Hospedales, Maja Pantic |
| 2020 | CVPR | Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. | Kaiyue Pang, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2020 | CVPR | Incremental Few-Shot Object Detection. | Juan-Manuel Prez-Ra, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang |
| 2020 | ECCV | BzierSketch: A Generative Model for Scalable Vector Sketches. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2020 | ECCV | Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identification. | Xiao Gong, Guosheng Hu, Timothy M. Hospedales, Yongxin Yang |
| 2020 | ECCV | Online Meta-learning for Multi-source and Semi-supervised Domain Adaptation. | Da Li, Timothy M. Hospedales |
| 2020 | ECCV | Differentiable Automatic Data Augmentation. | Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang |
| 2020 | ECCV | Sequential Learning for Domain Generalization. | Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales |
| 2020 | ECCV | Learning to Generate Novel Domains for Domain Generalization. | Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |
| 2020 | ICASSP | Deep Clustering for Domain Adaptation. | Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales |
| 2020 | ICASSP | Deep Clusteringwith Concrete K-Means. | Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales |
| 2020 | ICASSP | Diversity and Sparsity: A New Perspective on Index Tracking. | Yu Zheng, Timothy M. Hospedales, Yongxin Yang |
| 2020 | ICLR | Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. | Miguel Jaques, Michael Burke, Timothy M. Hospedales |
| 2020 | ICRA | Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks | Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez, Timothy M. Hospedales |
| 2020 | IJCNN | RelationNet2: Deep Comparison Network for Few-Shot Learning. | Xueting Zhang, Yuting Qiang, Flood Sung, Yongxin Yang, Timothy M. Hospedales |
| 2020 | IROS | Adversarial Generation of Informative Trajectories for Dynamics System Identification. | Marija Jegorova, Joshua Smith, Michael N. Mistry, Timothy M. Hospedales |
| 2019 | AAAI | Disjoint Label Space Transfer Learning with Common Factorised Space. | Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales |
| 2019 | BMVC | Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice. | Jieru Jia, Qiuqi Ruan, Timothy M. Hospedales |
| 2019 | CVPR | Generalising Fine-Grained Sketch-Based Image Retrieval. | Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2019 | CVPR | Generalizable Person Re-Identification by Domain-Invariant Mapping Network. | Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2019 | EMNLP | TuckER: Tensor Factorization for Knowledge Graph Completion. | Ivana Balazevic, Carl Allen, Timothy M. Hospedales |
| 2019 | ICANN | Hypernetwork Knowledge Graph Embeddings. | Ivana Balazevic, Carl Allen, Timothy M. Hospedales |
| 2019 | ICCV | Episodic Training for Domain Generalization. | Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales |
| 2019 | ICCV | Goal-Driven Sequential Data Abstraction. | Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2019 | ICCV | Robust Person Re-Identification by Modelling Feature Uncertainty. | Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |
| 2019 | ICML | Analogies Explained: Towards Understanding Word Embeddings. | Carl Allen, Timothy M. Hospedales |
| 2019 | ICML | Feature-Critic Networks for Heterogeneous Domain Generalization. | Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales |
| 2019 | ICRA | Learning-driven Coarse-to-Fine Articulated Robot Tracking. | Christian Rauch, Vladimir Ivan, Timothy M. Hospedales, Jamie Shotton, Maurice F. Fallon |
| 2018 | AAAI | Learning to Generalize: Meta-Learning for Domain Generalization. | Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales |
| 2018 | CVPR | SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. | Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo |
| 2018 | CVPR | Multi-Level Factorisation Net for Person Re-Identification. | Xiaobin Chang, Timothy M. Hospedales, Tao Xiang |
| 2018 | CVPR | Scalable and Effective Deep CCA via Soft Decorrelation. | Xiaobin Chang, Tao Xiang, Timothy M. Hospedales |
| 2018 | CVPR | Sketch-a-Classifier: Sketch-Based Photo Classifier Generation. | Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2018 | CVPR | IVQA: Inverse Visual Question Answering. | Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun |
| 2018 | CVPR | Learning Deep Sketch Abstraction. | Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2018 | CVPR | Learning to Sketch With Shortcut Cycle Consistency. | Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2018 | CVPR | Learning to Compare: Relation Network for Few-Shot Learning. | Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales |
| 2018 | CVPR | Deep Mutual Learning. | Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu |
| 2018 | ECCV | Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. | Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang |
| 2018 | ECCV | Universal Sketch Perceptual Grouping. | Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang |
| 2018 | ECCV | Deep Factorised Inverse-Sketching. | Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2018 | EMNLP | Learning Unsupervised Word Translations Without Adversaries. | Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales |
| 2018 | ICASSP | Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions. | Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie |
| 2018 | ICPR | Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice. | Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales |
| 2018 | ICRA | Visual Articulated Tracking in the Presence of Occlusions. | Christian Rauch, Timothy M. Hospedales, Jamie Shotton, Maurice F. Fallon |
| 2017 | AAAI | Gated Neural Networks for Option Pricing: Rationality by Design. | Yongxin Yang, Yu Zheng, Timothy M. Hospedales |
| 2017 | BMVC | Now You See Me: Deep Face Hallucination for Unviewed Sketches. | Conghui Hu, Da Li, Yi-Zhe Song, Timothy M. Hospedales |
| 2017 | BMVC | Cross-domain Generative Learning for Fine-Grained Sketch-Based Image Retrieval. | Kaiyue Pang, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales |
| 2017 | BMVC | Fine-Grained Image Retrieval: the Text/Sketch Input Dilemma. | Jifei Song, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales |
| 2017 | CVPR | 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 |
| 2017 | CVPR | Semantic Regularisation for Recurrent Image Annotation. | Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun |
| 2017 | ICCV | 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 Martin Robertson, Yongxin Yang |
| 2017 | ICCV | Deeper, Broader and Artier Domain Generalization. | Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales |
| 2017 | ICCV | Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval. | Jifei Song, Qian Yu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2017 | ICIP | Transferring CNNS to multi-instance multi-label classification on small datasets. | Mingzhi Dong, Kunkun Pang, Yang Wu, Jing-Hao Xue, Timothy M. Hospedales, Tsukasa Ogasawara |
| 2017 | ICLR | Deep Multi-task Representation Learning: A Tensor Factorisation Approach. | Yongxin Yang, Timothy M. Hospedales |
| 2017 | ICLR | Trace Norm Regularised Deep Multi-Task Learning. | Yongxin Yang, Timothy M. Hospedales |
| 2017 | IJCAI | Tensor Based Knowledge Transfer Across Skill Categories for Robot Control. | Chenyang Zhao, Timothy M. Hospedales, Freek Stulp, Olivier Sigaud |
| 2016 | BMVC | L1 Graph Based Sparse Model for Label De-noising. | Xiaobin Chang, Tao Xiang, Timothy M. Hospedales |
| 2016 | BMVC | Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval. | Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Xiang Ruan |
| 2016 | CVPR | ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching. | Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li |
| 2016 | CVPR | Multivariate Regression on the Grassmannian for Predicting Novel Domains. | Yongxin Yang, Timothy M. Hospedales |
| 2016 | CVPR | Sketch Me That Shoe. | Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy |
| 2016 | ECCV | Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. | Xun Xu, Timothy M. Hospedales, Shaogang Gong |
| 2016 | EMNLP | Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition. | Tanmoy Mukherjee, Timothy M. Hospedales |
| 2016 | WACV | 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 |
| 2015 | BMVC | Sketch-a-Net that Beats Humans. | Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2015 | CVPR | Making better use of edges via perceptual grouping. | Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy M. Hospedales, Yi Li, Jun Guo |
| 2015 | CVPR | Transferring a semantic representation for person re-identification and search. | Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang |
| 2015 | ICIP | Semantic embedding space for zero-shot action recognition. | Xun Xu, Timothy M. Hospedales, Shaogang Gong |
| 2015 | UAI | Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. | Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil |
| 2014 | ACCV | Cross-Modal Face Matching: Beyond Viewed Sketches. | Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li |
| 2014 | BMVC | Open-world Person Re-Identification by Multi-Label Assignment Inference. | Brais Cancela, Timothy M. Hospedales, Shaogang Gong |
| 2014 | BMVC | Transductive Multi-label Zero-shot Learning. | Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong |
| 2014 | BMVC | Re-id: Hunting Attributes in the Wild. | Ryan Layne, Timothy M. Hospedales, Shaogang Gong |
| 2014 | BMVC | Intra-category sketch-based image retrieval by matching deformable part models. | Yi Li, Timothy M. Hospedales, Yi-Zhe Song, Shaogang Gong |
| 2014 | ECCV | Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation. | Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Zhen-Yong Fu, Shaogang Gong |
| 2014 | ECCV | Interestingness Prediction by Robust Learning to Rank. | Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong, Yuan Yao |
| 2014 | ECCV | Investigating Open-World Person Re-identification Using a Drone. | Ryan Layne, Timothy M. Hospedales, Shaogang Gong |
| 2014 | ECCV | Weakly Supervised Learning of Objects, Attributes and Their Associations. | Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |
| 2013 | ICCV | Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. | Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang |
| 2012 | BMVC | Person Re-identification by Attributes. | Ryan Layne, Timothy M. Hospedales, Shaogang Gong |
| 2012 | CVPR | Stream-based joint exploration-exploitation active learning. | Chen Change Loy, Timothy M. Hospedales, Tao Xiang, Shaogang Gong |
| 2012 | ECCV | Attribute Learning for Understanding Unstructured Social Activity. | Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong |
| 2012 | ECCV | A Unifying Theory of Active Discovery and Learning. | Timothy M. Hospedales, Shaogang Gong, Tao Xiang |
| 2012 | ECCV | Towards Person Identification and Re-identification with Attributes. | Ryan Layne, Timothy M. Hospedales, Shaogang Gong |
| 2011 | ICDM | Learning Tags from Unsegmented Videos of Multiple Human Actions. | Timothy M. Hospedales, Shaogang Gong, Tao Xiang |
| 2011 | PAKDD | Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning. | Timothy M. Hospedales, Shaogang Gong, Tao Xiang |
| 2010 | ACCV | Learning Rare Behaviours. | Jian Li, Timothy M. Hospedales, Shaogang Gong, Tao Xiang |
| 2009 | BMVC | A Unified Bayesian Framework for Adaptive Visual Tracking. | Emanuel Zelniker, Timothy M. Hospedales, Shaogang Gong, Tao Xiang |
| 2009 | ICCV | A Markov Clustering Topic Model for mining behaviour in video. | Timothy M. Hospedales, Shaogang Gong, Tao Xiang |
| 2008 | BMVC | An Adaptive Machine Director. | Timothy M. Hospedales, Oliver Williams |
| 2007 | IJCAI | Structure Inference for Bayesian Multisensory Perception and Tracking. | Timothy M. Hospedales, Joel J. Cartwright, Sethu Vijayakumar |