Edinburgh Research Explorer

Dr Timothy Hospedales

Reader in Image and Vision Computing

Profile photo

Willingness to take PhD 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. Hypernetwork Knowledge Graph Embeddings

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

  2. TuckER: Tensor Factorization for Knowledge Graph Completion

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

  3. Learning Driven Coarse-to-Fine Articulated Robot Tracking

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

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