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Timothy M. Hospedales

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
  • stat.ML1
ORCID 0000-0003-4867-7486
same name
  • Timothy M. Hospedales — 150 papers, h 78
  • Timothy M. Hospedales — 22 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152022
most citedSketch-a-Net that Beats Humans

39 citations · 78 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ML2022★ 5 cited

On the Limitations of General Purpose Domain Generalisation Methods

Henry Gouk, Ondrej Bohdal, Da Li +1

We investigate the fundamental performance limitations of learning algorithms in several Domain Generalisation (DG) settings. Motivated by the difficulty with which previously prop…

cs.LG2019

Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks

Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez +1

Deployment and operation of autonomous underwater vehicles is expensive and time-consuming. High-quality realistic sonar data simulation could be of benefit to multiple application…

cs.CV2015★ 34 cited

Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization

Xun Xu, Timothy Hospedales, Shaogang Gong

The growing rate of public space CCTV installations has generated a need for automated methods for exploiting video surveillance data including scene understanding, query, behaviou…

cs.CV2015★ 39 cited

Sketch-a-Net that Beats Humans

Qian Yu, Yongxin Yang, Yi-Zhe Song +2

We propose a multi-scale multi-channel deep neural network framework that, for the first time, yields sketch recognition performance surpassing that of humans. Our superior perform…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.