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Carl Doersch
Carl Doersch
Google DeepMind
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Title
Cited by
Cited by
Year
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
60112020
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
31562015
Tutorial on Variational Autoencoders
C Doersch
arXiv preprint arXiv:1606.05908, 2016
23192016
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
14942019
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
9792015
Video action transformer network
R Girdhar, J Carreira, C Doersch, A Zisserman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
8072019
Multi-task self-supervised visual learning
C Doersch, A Zisserman
Proceedings of the IEEE International Conference on Computer Vision, 2051-2060, 2017
7672017
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
6172016
Perceiver IO: A General Architecture for Structured Inputs & Outputs
A Jaegle, S Borgeaud, JB Alayrac, C Doersch, C Ionescu, D Ding, ...
arXiv preprint arXiv:2107.14795, 2021
4572021
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
3182013
CrossTransformers: spatially-aware few-shot transfer
C Doersch, A Gupta, A Zisserman
Advances in Neural Information Processing Systems 33, 2020
3082020
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
2592019
Data-dependent Initializations of Convolutional Neural Networks
P Krähenbühl, C Doersch, J Donahue, T Darrell
arXiv preprint arXiv:1511.06856, 2015
2412015
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
1702019
Kickstarting Deep Reinforcement Learning
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ...
arXiv preprint arXiv:1803.03835, 2018
1362018
Kubric: A scalable dataset generator
K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1282022
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
1202018
Structured agents for physical construction
V Bapst, A Sanchez-Gonzalez, C Doersch, K Stachenfeld, P Kohli, ...
International Conference on Machine Learning, 464-474, 2019
1082019
A Better Baseline for AVA
R Girdhar, J Carreira, C Doersch, A Zisserman
arXiv preprint arXiv:1807.10066, 2018
712018
TAP-Vid: A Benchmark for Tracking Any Point in a Video
C Doersch, A Gupta, L Markeeva, AR Continente, L Smaira, Y Aytar, ...
Neural Information Processing Systems Datasets and Benchmarks Track, 2022
632022
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