Frederic Besse
Frederic Besse
Verified email at
TitleCited byYear
Pmbp: Patchmatch belief propagation for correspondence field estimation
F Besse, C Rother, A Fitzgibbon, J Kautz
International Journal of Computer Vision 110 (1), 2-13, 2014
Neural scene representation and rendering
SMA Eslami, DJ Rezende, F Besse, F Viola, AS Morcos, M Garnelo, ...
Science 360 (6394), 1204-1210, 2018
Towards conceptual compression
K Gregor, F Besse, DJ Rezende, I Danihelka, D Wierstra
Advances In Neural Information Processing Systems, 3549-3557, 2016
Convolution by evolution: Differentiable pattern producing networks
C Fernando, D Banarse, M Reynolds, F Besse, D Pfau, M Jaderberg, ...
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 109-116, 2016
Learning and querying fast generative models for reinforcement learning
L Buesing, T Weber, S Racaniere, SM Eslami, D Rezende, DP Reichert, ...
arXiv preprint arXiv:1802.03006, 2018
Highly overparameterized optical flow using patchmatch belief propagation
M Hornáček, F Besse, J Kautz, A Fitzgibbon, C Rother
European Conference on Computer Vision, 220-234, 2014
Temporal difference variational auto-encoder
K Gregor, G Papamakarios, F Besse, L Buesing, T Weber
arXiv preprint arXiv:1806.03107, 2018
TF-Replicator: Distributed machine learning for researchers
P Buchlovsky, D Budden, D Grewe, C Jones, J Aslanides, F Besse, ...
arXiv preprint arXiv:1902.00465, 2019
Learning models for visual 3D localization with implicit mapping
D Rosenbaum, F Besse, F Viola, DJ Rezende, SM Eslami
arXiv preprint arXiv:1807.03149, 2018
Method and apparatus for echo cancellation
LG Petersen, G Larsson, P Wiss, S Pudas
US Patent App. 10/432,953, 2004
Shaping Belief States with Generative Environment Models for RL
K Gregor, DJ Rezende, F Besse, Y Wu, H Merzic, A Oord
arXiv preprint arXiv:1906.09237, 2019
Encoding Spatial Relations from Natural Language
T Ramalho, T Kociský, F Besse, SM Eslami, G Melis, F Viola, P Blunsom, ...
arXiv preprint arXiv:1807.01670, 2018
PatchMatch Belief Propagation for Correspondence Field Estimation and Its Applications
FO Besse
UCL (University College London), 2013
Scene understanding and generation using neural networks
DJ Rezende, SM Eslami, K Gregor, FO Besse
US Patent App. 16/403,278, 2019
Learning to encode spatial relations from natural language
T Ramalho, T Kocisky, F Besse, SMA Eslami, G Melis, F Viola, P Blunsom, ...
Learning Dynamic State Abstractions for Model-Based Reinforcement Learning
L Buesing, T Weber, S Racaniere, SMA Eslami, D Rezende, D Reichert, ...
The system can't perform the operation now. Try again later.
Articles 1–16