Edinburgh Research Explorer

Dr Timothy Hospedales

Reader in Image and Vision Computing

Profile photo

Willingness to take Ph.D. students: Yes

AI, Machine Learning applied to Computer Vision, Robotics and beyond. Meta-Learning, Learning to Learn, Transfer Learning.

Education / Academic qualification

Bachelor of Arts, University of Cambridge
Doctor of Philosophy (PhD), University of Edinburgh

Professional Qualifications

Fellow of the Higher Education Academy, FHEA

Area of Expertise

Research expertiseComputer Vision, Machine Learning

Current Research Interests

Computer Vision: Recognition, retrieval, matching. Person re-identification. Zero-shot learning. Vision and language.

Robotics: Contextual Policies, Paramaterised Skills, Reinforcement Learning.

Machine Learning: Lifelong learning, transfer learning, multi-task learing, active learning, deep learning, probabilistic modeling.

Research outputs

  1. Deep Mutual Learning

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Learning Deep Sketch Abstraction

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Learning to Compare: Relation Network for Few-Shot Learning

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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