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James Thewlis
James Thewlis
Unitary Ltd
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Unsupervised learning of object landmarks by factorized spatial embeddings
J Thewlis, H Bilen, A Vedaldi
ICCV 2017, 2017
1552017
Unsupervised learning of object frames by dense equivariant image labelling
J Thewlis, H Bilen, A Vedaldi
NeurIPS 2017, 2017
832017
Cross Pixel Optical Flow Similarity for Self-Supervised Learning
A Mahendran, J Thewlis, A Vedaldi
ACCV 2018, 2018
762018
Unsupervised learning of landmarks by descriptor vector exchange
J Thewlis, S Albanie, H Bilen, A Vedaldi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
752019
Fully-trainable deep matching
J Thewlis, S Zheng, PHS Torr, A Vedaldi
BMVC 2016, 2016
462016
Slim densepose: Thrifty learning from sparse annotations and motion cues
N Neverova, J Thewlis, RA Guler, I Kokkinos, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
372019
Unsupervised object learning from dense equivariant image labelling
J Thewlis, H Bilen, A Vedaldi
NIPS 2017, 2017
222017
Self-Supervised Segmentation by Grouping Optical-Flow
A Mahendran, J Thewlis, A Vedaldi
POCV 2018 Workshop on Action, Perception and Organization, 0
14*
How AI is learning to identify toxic online content
L Hanu, J Thewlis, S Haco
Scientific American 8, 2021
132021
Modelling and unsupervised learning of symmetric deformable object categories
J Thewlis, H Bilen, A Vedaldi
NeurIPS 2018, 2018
132018
Vtc: Improving video-text retrieval with user comments
L Hanu, J Thewlis, YM Asano, C Rupprecht
European Conference on Computer Vision, 616-633, 2022
52022
Language as the Medium: Multimodal Video Classification through text only
L Hanu, AL Verő, J Thewlis
ICCV 2023 - MMFM Workshop, 2023
22023
Learning Context-Adapted Video-Text Retrieval by Attending to User Comments
L Hanu, YM Asano, J Thewlis, C Rupprecht
2021
Objects from motion
J Thewlis
University of Oxford, 2018
2018
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Articles 1–14