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ORCIDTimothy M. Hospedales
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- affiliation: Queen Mary University of London, UK
- affiliation (PhD 2008): University of Edinburgh, UK
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2020 – today
- 2025
[i161]Boyan Gao, Bo Zhao, Shreyank N. Gowda, Xingrun Xing, Yibo Yang, Timothy M. Hospedales, David A. Clifton:
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation. CoRR abs/2502.01865 (2025)- [i160]Royson Lee, Minyoung Kim, Fady Rezk, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales:
FedP2EFT: Federated Learning to Personalize Parameter Efficient Fine-Tuning for Multilingual LLMs. CoRR abs/2502.04387 (2025) - [i159]Fady Rezk, Royson Lee, Henry Gouk, Timothy M. Hospedales, Minyoung Kim:
Model Diffusion for Certifiable Few-shot Transfer Learning. CoRR abs/2502.06970 (2025) - 2024
- [j41]Leonardo Iurada
, Silvia Bucci, Timothy M. Hospedales, Tatiana Tommasi:
Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics. IEEE Access 12: 47854-47867 (2024) - [j40]Li Liu, Timothy M. Hospedales, Yann LeCun, Mingsheng Long, Jiebo Luo, Wanli Ouyang, Matti Pietikäinen, Tinne Tuytelaars:
Editorial: Learning With Fewer Labels in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1319-1326 (2024) - [j39]Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues:
Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [c176]Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
DemoFusion: Democratising High-Resolution Image Generation With No $$$. CVPR 2024: 6159-6168 - [c175]Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song:
SketchINR: A First Look into Sketches as Implicit Neural Representations. CVPR 2024: 12565-12574 - [c174]Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez:
MobileQuant: Mobile-friendly Quantization for On-device Language Models. EMNLP (Findings) 2024: 9761-9771 - [c173]Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi:
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. ICASSP Workshops 2024: 515-519 - [c172]Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. ICLR 2024 - [c171]Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales:
Neural Fine-Tuning Search for Few-Shot Learning. ICLR 2024 - [c170]Minyoung Kim, Timothy M. Hospedales:
A Hierarchical Bayesian Model for Few-Shot Meta Learning. ICLR 2024 - [c169]Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas Donald Lane:
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. ICML 2024 - [c168]Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales:
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. ICML 2024 - [c167]Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy M. Hospedales:
Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations. ICML 2024 - [c166]Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi:
From Pixels to Waveforms: Evaluating Pre-trained Image Models for Few-Shot Audio Classification. IJCNN 2024: 1-8 - [c165]Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales:
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. MIDL 2024: 406-425 - [c164]Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martínez, Timothy M. Hospedales:
A Bayesian Approach to Data Point Selection. NeurIPS 2024 - [c163]Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. WACV 2024: 1485-1494 - [c162]Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales:
Feed-Forward Latent Domain Adaptation. WACV 2024: 8475-8484 - [i158]Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi:
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. CoRR abs/2402.01274 (2024) - [i157]Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales:
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. CoRR abs/2402.02207 (2024) - [i156]Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song:
SketchINR: A First Look into Sketches as Implicit Neural Representations. CoRR abs/2403.09344 (2024) - [i155]Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales:
VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning. CoRR abs/2403.13164 (2024) - [i154]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 abs/2405.14791 (2024) - [i153]Ruchika Chavhan, Da Li, Timothy M. Hospedales:
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning. CoRR abs/2405.19237 (2024) - [i152]Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. CoRR abs/2405.19458 (2024) - [i151]Bingchen Zhao, Yongshuo Zong, Letian Zhang, Timothy M. Hospedales:
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning. CoRR abs/2406.12742 (2024) - [i150]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 abs/2406.18566 (2024) - [i149]Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez:
MobileQuant: Mobile-friendly Quantization for On-device Language Models. CoRR abs/2408.13933 (2024) - [i148]Minyoung Kim, Timothy M. Hospedales:
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning. CoRR abs/2410.10417 (2024) - [i147]Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models. CoRR abs/2410.22149 (2024) - [i146]Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martínez, Timothy M. Hospedales:
A Bayesian Approach to Data Point Selection. CoRR abs/2411.03768 (2024) - 2023
- [j38]Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang:
Deep Learning for Free-Hand Sketch: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 285-312 (2023) - [j37]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: 4664-4676 (2023) - [j36]Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales:
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error. Trans. Mach. Learn. Res. 2023 (2023) - [j35]Jingshi Lei, Da Li, Chengming Xu, Liming Fang, Timothy M. Hospedales, Yanwei Fu:
Worst-case Feature Risk Minimization for Data-Efficient Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c161]Linus Ericsson, Da Li, Timothy M. Hospedales:
Better Practices for Domain Adaptation. AutoML 2023: 4/1-25 - [c160]Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song:
Sketch-based Video Object Segmentation: Benchmark and Analysis. BMVC 2023: 540-541 - [c159]Yongxin Yang, Timothy M. Hospedales:
Partial Index Tracking: A Meta-Learning Approach. CoLLAs 2023: 415-436 - [c158]Dongliang Chang, Yujun Tong, Ruoyi Du, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
An Erudite Fine-Grained Visual Classification Model. CVPR 2023: 7268-7277 - [c157]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: 7693-7703 - [c156]Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
On-the-Fly Category Discovery. CVPR 2023: 11691-11700 - [c155]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: 23349-23358 - [c154]Yongxin Yang, Timothy M. Hospedales:
An Evaluation of Self-supervised Learning for Portfolio Diversification. ICANN (3) 2023: 283-294 - [c153]Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales:
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. ICBINB 2023: 65-83 - [c152]Yurong Guo, Ruoyi Du, Yuan Dong, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
Task-aware Adaptive Learning for Cross-domain Few-shot Learning. ICCV 2023: 1590-1599 - [c151]Ruchika Chavhan, Henry Gouk, Da Li, Timothy M. Hospedales:
Quality Diversity for Visual Pre-Training. ICCV 2023: 5361-5371 - [c150]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
ChiroDiff: Modelling chirographic data with Diffusion Models. ICLR 2023 - [c149]Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales:
Amortised Invariance Learning for Contrastive Self-Supervision. ICLR 2023 - [c148]Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy M. Hospedales:
Learning where and when to reason in neuro-symbolic inference. ICLR 2023 - [c147]Minyoung Kim, Da Li, Timothy M. Hospedales:
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. ICLR 2023 - [c146]Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales:
MEDFAIR: Benchmarking Fairness for Medical Imaging. ICLR 2023 - [c145]Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi:
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. INTERSPEECH 2023: 4399-4403 - [c144]Cristina Cornelio, Jan Stühmer, Shell Xu Hu, Timothy M. Hospedales:
Learning Where and When to Reason in Neuro-Symbolic Inference. NeSy 2023: 411-412 - [c143]Minyoung Kim, Timothy M. Hospedales:
BayesTune: Bayesian Sparse Deep Model Fine-tuning. NeurIPS 2023 - [c142]Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane:
FedL2P: Federated Learning to Personalize. NeurIPS 2023 - [c141]Yongxin Yang, Timothy M. Hospedales:
On Calibration of Mathematical Finance Models by Hypernetworks. ECML/PKDD (6) 2023: 227-242 - [c140]Yongxin Yang, Timothy M. Hospedales:
Mixture of Normalizing Flows for European Option Pricing. UAI 2023: 2390-2399 - [c139]Mustafa Taha Koçyigit, Timothy M. Hospedales, Hakan Bilen:
Accelerating Self-Supervised Learning via Efficient Training Strategies. WACV 2023: 5643-5653 - [i145]Minyoung Kim, Da Li, Timothy M. Hospedales:
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. CoRR abs/2302.12047 (2023) - [i144]Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales:
Amortised Invariance Learning for Contrastive Self-Supervision. CoRR abs/2302.12712 (2023) - [i143]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 abs/2303.14348 (2023) - [i142]Leonardo Iurada, Silvia Bucci, Timothy M. Hospedales, Tatiana Tommasi:
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics. CoRR abs/2303.14411 (2023) - [i141]Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales:
Self-Supervised Multimodal Learning: A Survey. CoRR abs/2304.01008 (2023) - [i140]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
ChiroDiff: Modelling chirographic data with Diffusion Models. CoRR abs/2304.03785 (2023) - [i139]Ondrej Bohdal, Timothy M. Hospedales, Philip H. S. Torr, Fazl Barez:
Fairness in AI and Its Long-Term Implications on Society. CoRR abs/2304.09826 (2023) - [i138]Minyoung Kim, Timothy M. Hospedales:
FedHB: Hierarchical Bayesian Federated Learning. CoRR abs/2305.04979 (2023) - [i137]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 abs/2305.07625 (2023) - [i136]Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales:
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR abs/2305.08252 (2023) - [i135]Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi:
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. CoRR abs/2305.17191 (2023) - [i134]Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales:
Neural Fine-Tuning Search for Few-Shot Learning. CoRR abs/2306.09295 (2023) - [i133]Minyoung Kim, Timothy M. Hospedales:
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning. CoRR abs/2306.09702 (2023) - [i132]Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues:
Impact of Noise on Calibration and Generalisation of Neural Networks. CoRR abs/2306.17630 (2023) - [i131]Luísa Shimabucoro, Timothy M. Hospedales, Henry Gouk:
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? CoRR abs/2307.02732 (2023) - [i130]Ondrej Bohdal, Da Li, Timothy M. Hospedales:
Feed-Forward Source-Free Domain Adaptation via Class Prototypes. CoRR abs/2307.10787 (2023) - [i129]Ondrej Bohdal, Da Li, Timothy M. Hospedales:
Label Calibration for Semantic Segmentation Under Domain Shift. CoRR abs/2307.10842 (2023) - [i128]Linus Ericsson, Da Li, Timothy M. Hospedales:
Better Practices for Domain Adaptation. CoRR abs/2309.03879 (2023) - [i127]Minyoung Kim, Timothy M. Hospedales:
BayesDLL: Bayesian Deep Learning Library. CoRR abs/2309.12928 (2023) - [i126]Yongshuo Zong, Tingyang Yu, Bingchen Zhao, Ruchika Chavhan, Timothy M. Hospedales:
Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations. CoRR abs/2310.01651 (2023) - [i125]Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
FedL2P: Federated Learning to Personalize. CoRR abs/2310.02420 (2023) - [i124]Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. CoRR abs/2310.05055 (2023) - [i123]Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales:
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. CoRR abs/2310.18191 (2023) - [i122]Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song:
Sketch-based Video Object Segmentation: Benchmark and Analysis. CoRR abs/2311.07261 (2023) - [i121]Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
DemoFusion: Democratising High-Resolution Image Generation With No $$$. CoRR abs/2311.16973 (2023) - 2022
- [j34]Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos J. Storkey:
Meta-Learning in Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5149-5169 (2022) - [j33]Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales:
Self-Supervised Representation Learning: Introduction, advances, and challenges. IEEE Signal Process. Mag. 39(3): 42-62 (2022) - [j32]Marija Jegorova, Stéphane Doncieux, Timothy M. Hospedales:
Behavioral Repertoire via Generative Adversarial Policy Networks. IEEE Trans. Cogn. Dev. Syst. 14(4): 1344-1355 (2022) - [c138]Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song:
Towards Unsupervised Sketch-based Image Retrieval. BMVC 2022: 224 - [c137]Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks. BMVC 2022: 509 - [c136]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: 9058-9067 - [c135]Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi:
MetaAudio: A Few-Shot Audio Classification Benchmark. ICANN (1) 2022: 219-230 - [c134]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
SketchODE: Learning neural sketch representation in continuous time. ICLR 2022 - [c133]Lucas Deecke, Timothy M. Hospedales, Hakan Bilen:
Visual Representation Learning over Latent Domains. ICLR 2022 - [c132]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR 2022 - [c131]Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales:
Loss Function Learning for Domain Generalization by Implicit Gradient. ICML 2022: 7002-7016 - [c130]Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales:
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. ICML 2022: 11148-11161 - [c129]Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales:
Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. L4DC 2022: 316-329 - [i120]Da Li, Henry Gouk, Timothy M. Hospedales:
Finding lost DG: Explaining domain generalization via model complexity. CoRR abs/2202.00563 (2022) - [i119]Boyan Gao, Henry Gouk, Haebeom Lee, Timothy M. Hospedales:
Meta Mirror Descent: Optimiser Learning for Fast Convergence. CoRR abs/2203.02711 (2022) - [i118]Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi:
MetaAudio: A Few-Shot Audio Classification Benchmark. CoRR abs/2204.02121 (2022) - [i117]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 abs/2204.07305 (2022) - [i116]Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales:
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. CoRR abs/2206.04920 (2022) - [i115]Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales:
Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention. CoRR abs/2207.07624 (2022) - [i114]Ruchika Chavhan, Henry Gouk, Jan Stühmer, Timothy M. Hospedales:
HyperInvariances: Amortizing Invariance Learning. CoRR abs/2207.08304 (2022) - [i113]Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales:
Attacking Adversarial Defences by Smoothing the Loss Landscape. CoRR abs/2208.00862 (2022) - [i112]Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales:
MEDFAIR: Benchmarking Fairness for Medical Imaging. CoRR abs/2210.01725 (2022) - [i111]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 abs/2212.04084 (2022) - [i110]Mustafa Taha Koçyigit, Timothy M. Hospedales, Hakan Bilen:
Accelerating Self-Supervised Learning via Efficient Training Strategies. CoRR abs/2212.05611 (2022) - [i109]Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. CoRR abs/2212.07886 (2022) - 2021
- [j31]Qian Yu, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Fine-Grained Instance-Level Sketch-Based Image Retrieval. Int. J. Comput. Vis. 129(2): 484-500 (2021) - [j30]Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1995-2007 (2021) - [j29]Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang:
On Learning Semantic Representations for Large-Scale Abstract Sketches. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3366-3379 (2021) - [j28]Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Toward Fine-Grained Sketch-Based 3D Shape Retrieval. IEEE Trans. Image Process. 30: 8595-8606 (2021) - [c128]Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang:
Simple and Effective Stochastic Neural Networks. AAAI 2021: 3252-3260 - [c127]Efthymia Tsamoura, Timothy M. Hospedales, Loizos Michael:
Neural-Symbolic Integration: A Compositional Perspective. AAAI 2021: 5051-5060 - [c126]Chenyang Zhao, Timothy M. Hospedales:
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation. ACML 2021: 1237-1252 - [c125]Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic:
Defensive Tensorization. BMVC 2021: 131 - [c124]Yuting Qiang, Yongxin Yang, Xueting Zhang, Yanwen Guo, Timothy M. Hospedales:
Tensor Composition Net for Visual Relationship Prediction. BMVC 2021: 434 - [c123]Miguel Jaques, Michael Burke, Timothy M. Hospedales:
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces. CVPR 2021: 4454-4463 - [c122]Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
How Well Do Self-Supervised Models Transfer? CVPR 2021: 5414-5423 - [c121]Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CVPR 2021: 5672-5681 - [c120]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Cloud2Curve: Generation and Vectorization of Parametric Sketches. CVPR 2021: 7088-7097 - [c119]Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales:
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. ICCV 2021: 631-640 - [c118]Boyan Gao, Henry Gouk, Timothy M. Hospedales:
Searching for Robustness: Loss Learning for Noisy Classification Tasks. ICCV 2021: 6650-6659 - [c117]Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales:
A Simple Feature Augmentation for Domain Generalization. ICCV 2021: 8866-8875 - [c116]Carl Allen, Ivana Balazevic, Timothy M. Hospedales:
Interpreting Knowledge Graph Relation Representation from Word Embeddings. ICLR 2021 - [c115]Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil:
Distance-Based Regularisation of Deep Networks for Fine-Tuning. ICLR 2021 - [c114]Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales:
Weight-covariance alignment for adversarially robust neural networks. ICML 2021: 3047-3056 - [c113]Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu:
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) 2021: 80-96 - [c112]Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales:
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization. NeurIPS 2021: 22234-22246 - [c111]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 - [i108]Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales:
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. CoRR abs/2101.02833 (2021) - [i107]Yiying Li, Wei Zhou, Huaimin Wang, Haibo Mi, Timothy M. Hospedales:
FedH2L: Federated Learning with Model and Statistical Heterogeneity. CoRR abs/2101.11296 (2021) - [i106]Boyan Gao, Henry Gouk, Timothy M. Hospedales:
Searching for Robustness: Loss Learning for Noisy Classification Tasks. CoRR abs/2103.00243 (2021) - [i105]Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CoRR abs/2103.13716 (2021) - [i104]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Cloud2Curve: Generation and Vectorization of Parametric Sketches. CoRR abs/2103.15536 (2021) - [i103]Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song:
Towards Unsupervised Sketch-based Image Retrieval. CoRR abs/2105.08237 (2021) - [i102]Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales:
Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error. CoRR abs/2106.09613 (2021) - [i101]Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales:
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization. CoRR abs/2106.10575 (2021) - [i100]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 abs/2107.07579 (2021) - [i99]Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales:
Vision-based system identification and 3D keypoint discovery using dynamics constraints. CoRR abs/2109.05928 (2021) - [i98]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR abs/2110.02508 (2021) - [i97]Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales:
Self-Supervised Representation Learning: Introduction, Advances and Challenges. CoRR abs/2110.09327 (2021) - [i96]Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic:
Defensive Tensorization. CoRR abs/2110.13859 (2021) - [i95]Minyoung Kim, Timothy M. Hospedales:
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation. CoRR abs/2111.05392 (2021) - [i94]Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks. CoRR abs/2111.11398 (2021) - 2020
- [j27]Ling Shao, Hubert P. H. Shum, Timothy M. Hospedales:
Editorial: Special Issue on Machine Vision with Deep Learning. Int. J. Comput. Vis. 128(4): 771-772 (2020) - [j26]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 460-474 (2020) - [j25]Zhong Ji, Biying Cui, Huihui Li, Yu-Gang Jiang, Tao Xiang, Timothy M. Hospedales, Yanwei Fu:
Deep Ranking for Image Zero-Shot Multi-Label Classification. IEEE Trans. Image Process. 29: 6549-6560 (2020) - [j24]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: 9470-9481 (2020) - [j23]Ayan Kumar Bhunia, Ayan Das, Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song:
Pixelor: a competitive sketching AI agent. so you think you can sketch? ACM Trans. Graph. 39(6): 166:1-166:15 (2020) - [c110]Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang:
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. AAAI 2020: 1242-1249 - [c109]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Deep Domain-Adversarial Image Generation for Domain Generalisation. AAAI 2020: 13025-13032 - [c108]Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara:
ALBA: Reinforcement Learning for Video Object Segmentation. BMVC 2020 - [c107]Mustafa Taha Koçyigit, Laura Sevilla-Lara, Timothy M. Hospedales, Hakan Bilen:
Unsupervised Batch Normalization. CVPR Workshops 2020: 3994-3999 - [c106]Jean Kossaifi, Antoine Toisoul, Adrian Bulat, Yannis Panagakis, Timothy M. Hospedales, Maja Pantic:
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation. CVPR 2020: 6059-6068 - [c105]Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. CVPR 2020: 9776-9785 - [c104]Kaiyue Pang, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. CVPR 2020: 10344-10352 - [c103]Juan-Manuel Pérez-Rúa, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang:
Incremental Few-Shot Object Detection. CVPR 2020: 13843-13852 - [c102]Xiao Gong, Guosheng Hu, Timothy M. Hospedales, Yongxin Yang:
Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identification. ECCV Workshops (1) 2020: 135-151 - [c101]Da Li, Timothy M. Hospedales:
Online Meta-learning for Multi-source and Semi-supervised Domain Adaptation. ECCV (16) 2020: 382-403 - [c100]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Learning to Generate Novel Domains for Domain Generalization. ECCV (16) 2020: 561-578 - [c99]Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Differentiable Automatic Data Augmentation. ECCV (22) 2020: 580-595 - [c98]Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Sequential Learning for Domain Generalization. ECCV Workshops (1) 2020: 603-619 - [c97]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
BézierSketch: A Generative Model for Scalable Vector Sketches. ECCV (26) 2020: 632-647 - [c96]Yu Zheng, Yunpeng Li, Qiuhua Xu, Timothy M. Hospedales, Yongxin Yang:
Index tracking with differentiate asset selection. ICAIF 2020: 12:1-12:8 - [c95]Yu Zheng, Timothy M. Hospedales, Yongxin Yang:
Diversity and Sparsity: A New Perspective on Index Tracking. ICASSP 2020: 1768-1772 - [c94]Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales:
Deep Clustering for Domain Adaptation. ICASSP 2020: 4247-4251 - [c93]Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales:
Deep Clusteringwith Concrete K-Means. ICASSP 2020: 4252-4256 - [c92]Miguel Jaques, Michael Burke, Timothy M. Hospedales:
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. ICLR 2020 - [c91]Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez, Timothy M. Hospedales:
Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks*. ICRA 2020: 3168-3174 - [c90]Xueting Zhang, Yuting Qiang, Flood Sung, Yongxin Yang, Timothy M. Hospedales:
RelationNet2: Deep Comparison Network for Few-Shot Learning. IJCNN 2020: 1-8 - [c89]Marija Jegorova, Joshua Smith, Michael N. Mistry, Timothy M. Hospedales:
Adversarial Generation of Informative Trajectories for Dynamics System Identification. IROS 2020: 7109-7115 - [c88]Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales:
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. NeurIPS 2020 - [i93]Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil:
Distance-Based Regularisation of Deep Networks for Fine-Tuning. CoRR abs/2002.08253 (2020) - [i92]Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. CoRR abs/2002.09461 (2020) - [i91]Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval. CoRR abs/2002.10310 (2020) - [i90]Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez, Timothy M. Hospedales:
Unlimited Resolution Image Generation with R2D2-GANs. CoRR abs/2003.01063 (2020) - [i89]Marija Jegorova, Joshua Smith, Michael N. Mistry, Timothy M. Hospedales:
Adversarial Generation of Informative Trajectories for Dynamics System Identification. CoRR abs/2003.01190 (2020) - [i88]Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy M. Hospedales, Neil Martin Robertson, Yongxing Yang:
DADA: Differentiable Automatic Data Augmentation. CoRR abs/2003.03780 (2020) - [i87]Juan-Manuel Pérez-Rúa, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang:
Incremental Few-Shot Object Detection. CoRR abs/2003.04668 (2020) - [i86]Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales:
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. CoRR abs/2003.05334 (2020) - [i85]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Deep Domain-Adversarial Image Generation for Domain Generalisation. CoRR abs/2003.06054 (2020) - [i84]Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Sequential Learning for Domain Generalization. CoRR abs/2004.01377 (2020) - [i83]Da Li, Timothy M. Hospedales:
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation. CoRR abs/2004.04398 (2020) - [i82]Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos J. Storkey:
Meta-Learning in Neural Networks: A Survey. CoRR abs/2004.05439 (2020) - [i81]Xinwang Liu, En Zhu, Jiyuan Liu, Timothy M. Hospedales, Yang Wang, Meng Wang:
SimpleMKKM: Simple Multiple Kernel K-means. CoRR abs/2005.04975 (2020) - [i80]Stéphane Doncieux, Nicolas Bredèche, Leni K. Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz Rodríguez, David Filliat, Timothy M. Hospedales, A. E. Eiben, Richard J. Duro:
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR abs/2005.06223 (2020) - [i79]Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara:
ALBA : Reinforcement Learning for Video Object Segmentation. CoRR abs/2005.13039 (2020) - [i78]Lucas Deecke, Timothy M. Hospedales, Hakan Bilen:
Latent Domain Learning with Dynamic Residual Adapters. CoRR abs/2006.00996 (2020) - [i77]Miguel Jaques, Michael Burke, Timothy M. Hospedales:
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces. CoRR abs/2006.01959 (2020) - [i76]Carl Allen, Ivana Balazevic, Timothy M. Hospedales:
A Probabilistic Framework for Discriminative and Neuro-Symbolic Semi-Supervised Learning. CoRR abs/2006.05896 (2020) - [i75]Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales:
Flexible Dataset Distillation: Learn Labels Instead of Images. CoRR abs/2006.08572 (2020) - [i74]Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights. CoRR abs/2006.12360 (2020) - [i73]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
BézierSketch: A generative model for scalable vector sketches. CoRR abs/2007.02190 (2020) - [i72]Ivana Balazevic, Carl Allen, Timothy M. Hospedales:
Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows. CoRR abs/2007.02745 (2020) - [i71]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Learning to Generate Novel Domains for Domain Generalization. CoRR abs/2007.03304 (2020) - [i70]Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang:
On Learning Semantic Representations for Million-Scale Free-Hand Sketches. CoRR abs/2007.04101 (2020) - [i69]Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales:
A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness. CoRR abs/2010.08852 (2020) - [i68]Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
How Well Do Self-Supervised Models Transfer? CoRR abs/2011.13377 (2020) - [i67]Jiechao Guan, Zhiwu Lu, Tao Xiang, Timothy M. Hospedales:
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding. CoRR abs/2012.01602 (2020) - [i66]Chenyang Zhao, Timothy M. Hospedales:
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation. CoRR abs/2012.04839 (2020) - [i65]Yuting Qiang, Yongxin Yang, Yanwen Guo, Timothy M. Hospedales:
Tensor Composition Net for Visual Relationship Prediction. CoRR abs/2012.05473 (2020)
2010 – 2019
- 2019
- [j22]Ke Li, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Toward Deep Universal Sketch Perceptual Grouper. IEEE Trans. Image Process. 28(7): 3219-3231 (2019) - [c87]Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales:
Disjoint Label Space Transfer Learning with Common Factorised Space. AAAI 2019: 3288-3295 - [c86]Jieru Jia, Qiuqi Ruan, Timothy M. Hospedales:
Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice. BMVC 2019: 117 - [c85]Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Generalising Fine-Grained Sketch-Based Image Retrieval. CVPR 2019: 677-686 - [c84]Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Generalizable Person Re-Identification by Domain-Invariant Mapping Network. CVPR 2019: 719-728 - [c83]Ivana Balazevic, Carl Allen, Timothy M. Hospedales:
TuckER: Tensor Factorization for Knowledge Graph Completion. EMNLP/IJCNLP (1) 2019: 5184-5193 - [c82]Ivana Balazevic, Carl Allen, Timothy M. Hospedales:
Hypernetwork Knowledge Graph Embeddings. ICANN (Workshop) 2019: 553-565 - [c81]Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Goal-Driven Sequential Data Abstraction. ICCV 2019: 71-80 - [c80]Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Robust Person Re-Identification by Modelling Feature Uncertainty. ICCV 2019: 552-561 - [c79]Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales:
Episodic Training for Domain Generalization. ICCV 2019: 1446-1455 - [c78]Gabriella Pizzuto, Timothy M. Hospedales, Olga Capirci, Angelo Cangelosi:
Modelling the Single Word to Multi-Word Transition Using Matrix Completion. ICDL-EPIROB 2019: 284-289 - [c77]Marija Jegorova, Stéphane Doncieux, Timothy M. Hospedales:
Behavioral Repertoire via Generative Adversarial Policy Networks. ICDL-EPIROB 2019: 320-326 - [c76]Carl Allen, Timothy M. Hospedales:
Analogies Explained: Towards Understanding Word Embeddings. ICML 2019: 223-231 - [c75]Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales:
Feature-Critic Networks for Heterogeneous Domain Generalization. ICML 2019: 3915-3924 - [c74]Christian Rauch, Vladimir Ivan, Timothy M. Hospedales, Jamie Shotton, Maurice F. Fallon:
Learning-driven Coarse-to-Fine Articulated Robot Tracking. ICRA 2019: 6604-6610 - [c73]Ivana Balazevic, Carl Allen, Timothy M. Hospedales:
Multi-relational Poincaré Graph Embeddings. NeurIPS 2019: 4465-4475 - [c72]Carl Allen, Ivana Balazevic, Timothy M. Hospedales:
What the Vec? Towards Probabilistically Grounded Embeddings. NeurIPS 2019: 7465-7475 - [i64]Ivana Balazevic, Carl Allen, Timothy M. Hospedales:
TuckER: Tensor Factorization for Knowledge Graph Completion. CoRR abs/1901.09590 (2019) - [i63]Carl Allen, Timothy M. Hospedales:
Analogies Explained: Towards Understanding Word Embeddings. CoRR abs/1901.09813 (2019) - [i62]Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales:
Feature-Critic Networks for Heterogeneous Domain Generalization. CoRR abs/1901.11448 (2019) - [i61]Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales:
Episodic Training for Domain Generalization. CoRR abs/1902.00113 (2019) - [i60]Chenyang Zhao, Olivier Sigaud, Freek Stulp, Timothy M. Hospedales:
Investigating Generalisation in Continuous Deep Reinforcement Learning. CoRR abs/1902.07015 (2019) - [i59]Jieru Jia, Qiuqi Ruan, Timothy M. Hospedales:
Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice. CoRR abs/1905.03422 (2019) - [i58]Ivana Balazevic, Carl Allen, Timothy M. Hospedales:
Multi-relational Poincaré Graph Embeddings. CoRR abs/1905.09791 (2019) - [i57]Miguel Jaques, Michael Burke, Timothy M. Hospedales:
Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video. CoRR abs/1905.11169 (2019) - [i56]Deyan Petrov, Timothy M. Hospedales:
Measuring the Transferability of Adversarial Examples. CoRR abs/1907.06291 (2019) - [i55]Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Goal-Driven Sequential Data Abstraction. CoRR abs/1907.12336 (2019) - [i54]Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Zero-Shot Crowd Behavior Recognition. CoRR abs/1908.05877 (2019) - [i53]Carl Allen, Ivana Balazevic, Timothy M. Hospedales:
On Understanding Knowledge Graph Representation. CoRR abs/1909.11611 (2019) - [i52]Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales:
Deep clustering with concrete k-means. CoRR abs/1910.08031 (2019) - 2018
- [j21]Zhanyu Ma, Haibin Ling, Yi-Zhe Song, Timothy M. Hospedales, Wei Jia, Yuxin Peng, Aili Han:
IEEE Access Special Section Editorial: Recent Advantages of Computer Vision. IEEE Access 6: 31481-31485 (2018) - [j20]Stéphane Doncieux, David Filliat, Natalia Díaz Rodríguez, Timothy M. Hospedales, Richard J. Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud:
Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers Neurorobotics 12: 59 (2018) - [j19]Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, Jakob Verbeek:
Frankenstein: Learning Deep Face Representations Using Small Data. IEEE Trans. Image Process. 27(1): 293-303 (2018) - [c71]Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Learning to Generalize: Meta-Learning for Domain Generalization. AAAI 2018: 3490-3497 - [c70]Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning to Sketch With Shortcut Cycle Consistency. CVPR 2018: 801-810 - [c69]Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales:
Learning to Compare: Relation Network for Few-Shot Learning. CVPR 2018: 1199-1208 - [c68]Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
Scalable and Effective Deep CCA via Soft Decorrelation. CVPR 2018: 1488-1497 - [c67]Xiaobin Chang, Timothy M. Hospedales, Tao Xiang:
Multi-Level Factorisation Net for Person Re-Identification. CVPR 2018: 2109-2118 - [c66]Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu:
Deep Mutual Learning. CVPR 2018: 4320-4328 - [c65]Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning Deep Sketch Abstraction. CVPR 2018: 8014-8023 - [c64]Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CVPR 2018: 8090-8098 - [c63]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
IVQA: Inverse Visual Question Answering. CVPR 2018: 8611-8619 - [c62]Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Classifier: Sketch-Based Photo Classifier Generation. CVPR 2018: 9136-9144 - [c61]Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Deep Factorised Inverse-Sketching. ECCV (15) 2018: 37-54 - [c60]Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. ECCV (12) 2018: 106-123 - [c59]Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Universal Sketch Perceptual Grouping. ECCV (8) 2018: 593-609 - [c58]Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales:
Learning Unsupervised Word Translations Without Adversaries. EMNLP 2018: 627-632 - [c57]Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie:
Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions. ICASSP 2018: 2706-2710 - [c56]Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales:
Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice. ICPR 2018: 2269-2276 - [c55]Christian Rauch, Timothy M. Hospedales, Jamie Shotton, Maurice F. Fallon:
Visual Articulated Tracking in the Presence of Occlusions. ICRA 2018: 643-650 - [i51]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool. CoRR abs/1803.06936 (2018) - [i50]Xiaobin Chang, Timothy M. Hospedales, Tao Xiang:
Multi-Level Factorisation Net for Person Re-Identification. CoRR abs/1803.09132 (2018) - [i49]Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CoRR abs/1804.01401 (2018) - [i48]Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning Deep Sketch Abstraction. CoRR abs/1804.04804 (2018) - [i47]Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Classifier: Sketch-based Photo Classifier Generation. CoRR abs/1804.11182 (2018) - [i46]Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning to Sketch with Shortcut Cycle Consistency. CoRR abs/1805.00247 (2018) - [i45]Carl Allen, Ivana Balazevic, Timothy M. Hospedales:
What the Vec? Towards Probabilistically Grounded Embeddings. CoRR abs/1805.12164 (2018) - [i44]Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales:
Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning. CoRR abs/1806.04798 (2018) - [i43]Yongxin Yang, Irene Garcia Morillo, Timothy M. Hospedales:
Deep Neural Decision Trees. CoRR abs/1806.06988 (2018) - [i42]Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Universal Perceptual Grouping. CoRR abs/1808.02312 (2018) - [i41]Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Deep Factorised Inverse-Sketching. CoRR abs/1808.02313 (2018) - [i40]Ivana Balazevic, Carl Allen, Timothy M. Hospedales:
Hypernetwork Knowledge Graph Embeddings. CoRR abs/1808.07018 (2018) - [i39]Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales:
Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice. CoRR abs/1810.07778 (2018) - [i38]Marija Jegorova, Stéphane Doncieux, Timothy M. Hospedales:
Generative Adversarial Policy Networks for Behavioural Repertoire. CoRR abs/1811.02945 (2018) - [i37]Xueting Zhang, Flood Sung, Yuting Qiang, Yongxin Yang, Timothy M. Hospedales:
Deep Comparison: Relation Columns for Few-Shot Learning. CoRR abs/1811.07100 (2018) - [i36]Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales:
Disjoint Label Space Transfer Learning with Common Factorised Space. CoRR abs/1812.02605 (2018) - 2017
- [j18]Yi Li, Yi-Zhe Song, Timothy M. Hospedales, Shaogang Gong:
Free-Hand Sketch Synthesis with Deformable Stroke Models. Int. J. Comput. Vis. 122(1): 169-190 (2017) - [j17]Qian Yu, Yongxin Yang, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Net: A Deep Neural Network that Beats Humans. Int. J. Comput. Vis. 122(3): 411-425 (2017) - [j16]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Transductive Zero-Shot Action Recognition by Word-Vector Embedding. Int. J. Comput. Vis. 123(3): 309-333 (2017) - [j15]Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2525-2538 (2017) - [j14]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1353-1367 (2017) - [j13]Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Honggang Zhang:
Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval. IEEE Trans. Image Process. 26(12): 5908-5921 (2017) - [c54]Yongxin Yang, Yu Zheng, Timothy M. Hospedales:
Gated Neural Networks for Option Pricing: Rationality by Design. AAAI 2017: 52-58 - [c53]Conghui Hu, Da Li, Yi-Zhe Song, Timothy M. Hospedales:
Now You See Me: Deep Face Hallucination for Unviewed Sketches. BMVC 2017 - [c52]Kaiyue Pang, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales:
Cross-domain Generative Learning for Fine-Grained Sketch-Based Image Retrieval. BMVC 2017 - [c51]Jifei Song, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales:
Fine-Grained Image Retrieval: the Text/Sketch Input Dilemma. BMVC 2017 - [c50]Ryan Layne, Sion L. Hannuna, Massimo Camplani, Jake Hall, Timothy M. Hospedales, Tao Xiang, Majid Mirmehdi, Dima Damen:
A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D. CVPR Workshops 2017: 1462-1470 - [c49]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Semantic Regularisation for Recurrent Image Annotation. CVPR 2017: 4160-4168 - [c48]Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks. ICCV 2017: 3764-3773 - [c47]Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Deeper, Broader and Artier Domain Generalization. ICCV 2017: 5543-5551 - [c46]Jifei Song, Qian Yu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval. ICCV 2017: 5552-5561 - [c45]Mingzhi Dong, Kunkun Pang, Yang Wu, Jing-Hao Xue, Timothy M. Hospedales, Tsukasa Ogasawara:
Transferring CNNS to multi-instance multi-label classification on small datasets. ICIP 2017: 1332-1336 - [c44]Yongxin Yang, Timothy M. Hospedales:
Deep Multi-task Representation Learning: A Tensor Factorisation Approach. ICLR (Poster) 2017 - [c43]Yongxin Yang, Timothy M. Hospedales:
Trace Norm Regularised Deep Multi-Task Learning. ICLR (Workshop) 2017 - [c42]Chenyang Zhao, Timothy M. Hospedales, Freek Stulp, Olivier Sigaud:
Tensor Based Knowledge Transfer Across Skill Categories for Robot Control. IJCAI 2017: 3462-3468 - [p4]Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Zero-Shot Crowd Behavior Recognition. Group and Crowd Behavior for Computer Vision 2017: 341-369 - [p3]Yongxin Yang, Timothy M. Hospedales:
Unifying Multi-domain Multitask Learning: Tensor and Neural Network Perspectives. Domain Adaptation in Computer Vision Applications 2017: 291-309 - [i35]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. CoRR abs/1705.03372 (2017) - [i34]Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu:
Deep Mutual Learning. CoRR abs/1706.00384 (2017) - [i33]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Transferring a Semantic Representation for Person Re-Identification and Search. CoRR abs/1706.03725 (2017) - [i32]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images. CoRR abs/1706.05952 (2017) - [i31]Flood Sung, Li Zhang, Tao Xiang, Timothy M. Hospedales, Yongxin Yang:
Learning to Learn: Meta-Critic Networks for Sample Efficient Learning. CoRR abs/1706.09529 (2017) - [i30]Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, Timothy M. Hospedales:
Actor-Critic Sequence Training for Image Captioning. CoRR abs/1706.09601 (2017) - [i29]Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
Deep Multi-View Learning with Stochastic Decorrelation Loss. CoRR abs/1707.09669 (2017) - [i28]Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Weakly Supervised Image Annotation and Segmentation with Objects and Attributes. CoRR abs/1708.02459 (2017) - [i27]Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Deeper, Broader and Artier Domain Generalization. CoRR abs/1710.03077 (2017) - [i26]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
iVQA: Inverse Visual Question Answering. CoRR abs/1710.03370 (2017) - [i25]Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Learning to Generalize: Meta-Learning for Domain Generalization. CoRR abs/1710.03463 (2017) - [i24]Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales:
Learning to Compare: Relation Network for Few-Shot Learning. CoRR abs/1711.06025 (2017) - [i23]Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales:
Deep Matching Autoencoders. CoRR abs/1711.06047 (2017) - [i22]Qian Yu, Xiaobin Chang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching. CoRR abs/1711.08106 (2017) - 2016
- [j12]Yun Zhou, Timothy M. Hospedales, Norman E. Fenton:
When and where to transfer for Bayesian network parameter learning. Expert Syst. Appl. 55: 361-373 (2016) - [j11]Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li, Chen Change Loy, Xiaogang Wang:
A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution. Image Vis. Comput. 56: 28-48 (2016) - [j10]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao:
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 563-577 (2016) - [c41]Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
L1 Graph Based Sparse Model for Label De-noising. BMVC 2016 - [c40]Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Xiang Ruan:
Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval. BMVC 2016 - [c39]Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy:
Sketch Me That Shoe. CVPR 2016: 799-807 - [c38]Yongxin Yang, Timothy M. Hospedales:
Multivariate Regression on the Grassmannian for Predicting Novel Domains. CVPR 2016: 5071-5080 - [c37]Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li:
ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching. CVPR 2016: 5571-5579 - [c36]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. ECCV (2) 2016: 343-359 - [c35]Jaclyn Rich, Hamed Haddadi, Timothy M. Hospedales:
Towards Bottom-Up Analysis of Social Food. Digital Health 2016: 111-120 - [c34]Tanmoy Mukherjee, Timothy M. Hospedales:
Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition. EMNLP 2016: 912-918 - [c33]Xavier Alameda-Pineda, Timothy M. Hospedales, Elisa Ricci, Nicu Sebe, Xiaogang Wang:
Emerging Topics in Learning from Noisy and Missing Data. ACM Multimedia 2016: 1469-1470 - [c32]Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Honggang Zhang, Yichuan Hu:
Fine-grained sketch-based image retrieval: The role of part-aware attributes. WACV 2016: 1-9 - [i21]Jaclyn Rich, Hamed Haddadi, Timothy M. Hospedales:
Towards Bottom-Up Analysis of Social Food. CoRR abs/1603.04497 (2016) - [i20]Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, Jakob Verbeek:
Frankenstein: Learning Deep Face Representations using Small Data. CoRR abs/1603.06470 (2016) - [i19]Yongxin Yang, Timothy M. Hospedales:
Deep Multi-task Representation Learning: A Tensor Factorisation Approach. CoRR abs/1605.06391 (2016) - [i18]Yongxin Yang, Timothy M. Hospedales:
Trace Norm Regularised Deep Multi-Task Learning. CoRR abs/1606.04038 (2016) - [i17]Yongxin Yang, Yu Zheng, Timothy M. Hospedales:
Gated Neural Networks for Option Pricing: Rationality by Design. CoRR abs/1609.07472 (2016) - [i16]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Semantic Regularisation for Recurrent Image Annotation. CoRR abs/1611.05490 (2016) - [i15]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. CoRR abs/1611.08663 (2016) - [i14]Yongxin Yang, Timothy M. Hospedales:
Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives. CoRR abs/1611.09345 (2016) - 2015
- [j9]Yi Li, Timothy M. Hospedales, Yi-Zhe Song, Shaogang Gong:
Free-hand sketch recognition by multi-kernel feature learning. Comput. Vis. Image Underst. 137: 1-11 (2015) - [j8]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 1959-1972 (2015) - [j7]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-View Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2332-2345 (2015) - [c31]Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Net that Beats Humans. BMVC 2015: 7.1-7.12 - [c30]Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy M. Hospedales, Yi Li, Jun Guo:
Making better use of edges via perceptual grouping. CVPR 2015: 1856-1865 - [c29]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Transferring a semantic representation for person re-identification and search. CVPR 2015: 4184-4193 - [c28]Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales:
When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition. ICCV Workshops 2015: 384-392 - [c27]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Semantic embedding space for zero-shot action recognition. ICIP 2015: 63-67 - [c26]Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil:
Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. UAI 2015: 972-981 - [c25]Yongxin Yang, Timothy M. Hospedales:
A Unified Perspective on Multi-Domain and Multi-Task Learning. ICLR (Poster) 2015 - [i13]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-view Zero-Shot Learning. CoRR abs/1501.04560 (2015) - [i12]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao:
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. CoRR abs/1501.06202 (2015) - [i11]Yongxin Yang, Timothy M. Hospedales:
Deep Neural Networks for Sketch Recognition. CoRR abs/1501.07873 (2015) - [i10]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Semantic Embedding Space for Zero-Shot Action Recognition. CoRR abs/1502.01540 (2015) - [i9]Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-label Zero-shot Learning. CoRR abs/1503.07790 (2015) - [i8]Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-class and Multi-label Zero-shot Learning. CoRR abs/1503.07884 (2015) - [i7]Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Weakly Supervised Learning of Objects, Attributes and their Associations. CoRR abs/1504.00045 (2015) - [i6]Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales:
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition. CoRR abs/1504.02351 (2015) - [i5]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization. CoRR abs/1507.07458 (2015) - [i4]Yongxin Yang, Timothy M. Hospedales:
Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian. CoRR abs/1507.07830 (2015) - [i3]Yi Li, Yi-Zhe Song, Timothy M. Hospedales, Shaogang Gong:
Free-hand Sketch Synthesis with Deformable Stroke Models. CoRR abs/1510.02644 (2015) - [i2]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Zero-Shot Action Recognition by Word-Vector Embedding. CoRR abs/1511.04458 (2015) - 2014
- [j6]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Learning Multimodal Latent Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 303-316 (2014) - [c24]Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li:
Cross-Modal Face Matching: Beyond Viewed Sketches. ACCV (2) 2014: 210-225 - [c23]Brais Cancela, Timothy M. Hospedales, Shaogang Gong:
Open-world Person Re-Identification by Multi-Label Assignment Inference. BMVC 2014 - [c22]Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-label Zero-shot Learning. BMVC 2014 - [c21]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Re-id: Hunting Attributes in the Wild. BMVC 2014 - [c20]Yi Li, Timothy M. Hospedales, Yi-Zhe Song, Shaogang Gong:
Intra-category sketch-based image retrieval by matching deformable part models. BMVC 2014 - [c19]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Investigating Open-World Person Re-identification Using a Drone. ECCV Workshops (3) 2014: 225-240 - [c18]Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Weakly Supervised Learning of Objects, Attributes and Their Associations. ECCV (2) 2014: 472-487 - [c17]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong, Yuan Yao:
Interestingness Prediction by Robust Learning to Rank. ECCV (2) 2014: 488-503 - [c16]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Zhen-Yong Fu, Shaogang Gong:
Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation. ECCV (2) 2014: 584-599 - [p2]Shaogang Gong, Marco Cristani, Chen Change Loy, Timothy M. Hospedales:
The Re-identification Challenge. Person Re-Identification 2014: 1-20 - [p1]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Attributes-Based Re-identification. Person Re-Identification 2014: 93-117 - [i1]Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li:
A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution. CoRR abs/1409.5114 (2014) - 2013
- [j5]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Finding Rare Classes: Active Learning with Generative and Discriminative Models. IEEE Trans. Knowl. Data Eng. 25(2): 374-386 (2013) - [c15]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. ICCV 2013: 2984-2991 - [c14]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Domain transfer for person re-identification. ARTEMIS@ACM Multimedia 2013: 25-32 - [c13]Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Cross-domain traffic scene understanding by motion model transfer. ARTEMIS@ACM Multimedia 2013: 77-86 - 2012
- [j4]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Video Behaviour Mining Using a Dynamic Topic Model. Int. J. Comput. Vis. 98(3): 303-323 (2012) - [c12]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Person Re-identification by Attributes. BMVC 2012: 1-11 - [c11]Chen Change Loy, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Stream-based joint exploration-exploitation active learning. CVPR 2012: 1560-1567 - [c10]Ryan Layne, Timothy M. Hospedales, Shaogang Gong:
Towards Person Identification and Re-identification with Attributes. ECCV Workshops (1) 2012: 402-412 - [c9]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
A Unifying Theory of Active Discovery and Learning. ECCV (5) 2012: 453-466 - [c8]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Attribute Learning for Understanding Unstructured Social Activity. ECCV (4) 2012: 530-543 - 2011
- [j3]Timothy M. Hospedales, Jian Li, Shaogang Gong, Tao Xiang:
Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2451-2464 (2011) - [c7]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Learning Tags from Unsegmented Videos of Multiple Human Actions. ICDM 2011: 251-259 - [c6]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning. PAKDD (2) 2011: 296-308 - 2010
- [c5]Jian Li, Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Learning Rare Behaviours. ACCV (2) 2010: 293-307
2000 – 2009
- 2009
- [c4]Emanuel Zelniker, Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
A Unified Bayesian Framework for Adaptive Visual Tracking. BMVC 2009: 1-11 - [c3]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
A Markov Clustering Topic Model for mining behaviour in video. ICCV 2009: 1165-1172 - 2008
- [b1]Timothy M. Hospedales:
Bayesian multisensory perception. University of Edinburgh, UK, 2008 - [j2]Timothy M. Hospedales, Mark C. W. van Rossum, Bruce P. Graham, Mayank B. Dutia:
Implications of Noise and Neural Heterogeneity for Vestibulo-Ocular Reflex Fidelity. Neural Comput. 20(3): 756-778 (2008) - [j1]Timothy M. Hospedales, Sethu Vijayakumar:
Structure Inference for Bayesian Multisensory Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 30(12): 2140-2157 (2008) - [c2]Timothy M. Hospedales, Oliver Williams:
An Adaptive Machine Director. BMVC 2008: 1-10 - 2007
- [c1]Timothy M. Hospedales, Joel J. Cartwright, Sethu Vijayakumar:
Structure Inference for Bayesian Multisensory Perception and Tracking. IJCAI 2007: 2122-2128
Coauthor Index
Nicholas D. Lane
aka: Nicholas Donald Lane
aka: Nicholas Donald Lane
[c171] [c169] [c162] [i154] [i153] [i150] [j37] [j35] [c161] [c160] [c157] [c155] [c151] [c147] [c142] [i145] [i143] [i137] [i134] [i130] [i129] [i128] [i125] [i122] [c136] [c130] [i120] [i117] [i116] [i115] [i113] [i111] [c128] [c117] [c114] [c111] [i100] [j24] [c101] [c98] [i84] [i83] [i69] [c80] [c79] [i61] [c71] [c62] [c61] [i47] [i41] [c53] [c47] [i27] [i25]
[c176] [c175] [i156] [j38] [j37] [c160] [c158] [c156] [c155] [c152] [c150] [i143] [i140] [i122] [i121] [c138] [c134] [j31] [j30] [j29] [j28] [c121] [c120] [i105] [i104] [i103] [j24] [j23] [c105] [c104] [c98] [c97] [i92] [i91] [i84] [i73] [i70] [j22] [c85] [c84] [c81] [c79] [i61] [i55] [j21] [c71] [c70] [c65] [c64] [c62] [c61] [c59] [i49] [i48] [i47] [i46] [i42] [i41] [j18] [j17] [j13] [c53] [c52] [c51] [c47] [c46] [i27] [i25] [i22] [j11] [c40] [c39] [c37] [c32] [j9] [c31] [c30] [i3] [c24] [c20] [i1]
[c175] [i156] [j38] [j37] [c150] [i140] [c134] [j31] [j30] [j29] [j28] [c128] [c121] [c120] [i105] [i104] [j26] [j25] [j23] [c109] [c105] [c104] [c103] [c100] [c97] [i92] [i91] [i87] [i85] [i73] [i71] [i70] [i67] [j22] [c87] [c85] [c84] [c81] [c80] [i55] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c59] [i51] [i50] [i49] [i48] [i47] [i46] [i42] [i41] [i36] [j17] [j15] [j13] [c50] [c49] [c46] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i26] [i24] [i22] [j10] [c41] [c40] [c39] [i16] [j8] [j7] [c31] [c30] [c29] [i13] [i12] [i9] [i8] [i7] [j6] [c22] [c18] [c17] [c16] [j5] [c15] [j4] [c11] [c9] [c8] [j3] [c7] [c6] [c5] [c4] [c3]
[c168] [i157] [j36] [c159] [c154] [c150] [c146] [c141] [c140] [i140] [c138] [c134] [c131] [i112] [j28] [c128] [c124] [c121] [c120] [c112] [i105] [i104] [i103] [i102] [i101] [j24] [j23] [c110] [c109] [c105] [c104] [c102] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c90] [c88] [i91] [i86] [i85] [i84] [i75] [i73] [i71] [i65] [c87] [c85] [c84] [c81] [c80] [c79] [c75] [i62] [i61] [i55] [i52] [j19] [c71] [c69] [c65] [c60] [i48] [i43] [i37] [i36] [j17] [j15] [c54] [c48] [c47] [c44] [c43] [p3] [i31] [i30] [i28] [i27] [i25] [i24] [c38] [i20] [i19] [i18] [i17] [i14] [c31] [c28] [c25] [i11] [i9] [i8] [i7] [i6] [i4] [c22] [c18]
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