Carl Doersch
Carl Doersch
Research Scientist, DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Unsupervised visual representation learning by context prediction
C Doersch, A Gupta, AA Efros
Proceedings of the IEEE International Conference on Computer Vision, 1422-1430, 2015
11822015
Tutorial on Variational Autoencoders
C Doersch
arXiv preprint arXiv:1606.05908, 2016
9932016
What makes Paris look like Paris?
C Doersch, S Singh, A Gupta, J Sivic, AA Efros
ACM Transactions on Graphics (SIGGRAPH) 31 (4), 101, 2012
5812012
An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders
J Walker, C Doersch, A Gupta, M Hebert
European Conference on Computer Vision, 835-851, 2016
4252016
Multi-task self-supervised visual learning
C Doersch, A Zisserman
Proceedings of the IEEE International Conference on Computer Vision, 2051-2060, 2017
3602017
Data-efficient image recognition with contrastive predictive coding
OJ Hénaff, A Srinivas, J De Fauw, A Razavi, C Doersch, SM Eslami, ...
arXiv preprint arXiv:1905.09272, 2019
3302019
Mid-level visual element discovery as discriminative mode seeking
C Doersch, A Gupta, AA Efros
Advances in neural information processing systems 26, 494-502, 2013
3022013
Bootstrap Your Own Latent-A New Approach to Self-Supervised Learning
JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ...
Advances in Neural Information Processing Systems 33, 2020
1862020
Video action transformer network
R Girdhar, J Carreira, C Doersch, A Zisserman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1862019
Data-dependent Initializations of Convolutional Neural Networks
P Krähenbühl, C Doersch, J Donahue, T Darrell
arXiv preprint arXiv:1511.06856, 2015
1762015
Exploiting temporal context for 3D human pose estimation in the wild
A Arnab, C Doersch, A Zisserman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
712019
What makes Paris look like Paris?
C Doersch, S Singh, A Gupta, J Sivic, AA Efros
Communications of the ACM 58 (12), 103-110, 2015
672015
Learning visual question answering by bootstrapping hard attention
M Malinowski, C Doersch, A Santoro, P Battaglia
Proceedings of the European Conference on Computer Vision (ECCV), 3-20, 2018
562018
Kickstarting Deep Reinforcement Learning
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ...
arXiv preprint arXiv:1803.03835, 2018
512018
A Better Baseline for AVA
R Girdhar, J Carreira, C Doersch, A Zisserman
arXiv preprint arXiv:1807.10066, 2018
382018
Context as supervisory signal: Discovering objects with predictable context
C Doersch, A Gupta, AA Efros
European Conference on Computer Vision, 362-377, 2014
382014
Sim2real transfer learning for 3D human pose estimation: motion to the rescue
C Doersch, A Zisserman
Advances in Neural Information Processing Systems, 12949-12961, 2019
352019
Improving state-of-the-art OCR through high-precision document-specific modeling
A Kae, G Huang, C Doersch, E Learned-Miller
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
282010
Structured agents for physical construction
V Bapst, A Sanchez-Gonzalez, C Doersch, K Stachenfeld, P Kohli, ...
International Conference on Machine Learning, 464-474, 2019
202019
CrossTransformers: spatially-aware few-shot transfer
C Doersch, A Gupta, A Zisserman
Advances in Neural Information Processing Systems 33, 2020
142020
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