Francesco Visin
Francesco Visin
Research Scientist at Google DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
A guide to convolution arithmetic for deep learning
V Dumoulin, F Visin
arXiv preprint arXiv:1603.07285, 2016
11592016
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv e-prints, arXiv: 1605.02688, 2016
797*2016
Pixelvae: A latent variable model for natural images
I Gulrajani, K Kumar, F Ahmed, AA Taiga, F Visin, D Vazquez, A Courville
arXiv preprint arXiv:1611.05013, 2016
2612016
Reseg: A recurrent neural network-based model for semantic segmentation
F Visin, M Ciccone, A Romero, K Kastner, K Cho, Y Bengio, M Matteucci, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
231*2016
Renet: A recurrent neural network based alternative to convolutional networks
F Visin, K Kastner, K Cho, M Matteucci, A Courville, Y Bengio
arXiv preprint arXiv:1505.00393, 2015
2182015
Meta-learning with warped gradient descent
S Flennerhag, AA Rusu, R Pascanu, F Visin, H Yin, R Hadsell
arXiv preprint arXiv:1909.00025, 2019
722019
Continual unsupervised representation learning
D Rao, F Visin, AA Rusu, YW Teh, R Pascanu, R Hadsell
arXiv preprint arXiv:1910.14481, 2019
672019
Mollifying networks
C Gulcehre, M Moczulski, F Visin, Y Bengio
arXiv preprint arXiv:1608.04980, 2016
482016
A guide to convolution arithmetic for deep learning. arXiv 2016
V Dumoulin, F Visin
arXiv preprint arXiv:1603.07285, 0
36
A guide to convolution arithmetic for deep learning. 2016
V Dumoulin, F Visin
arXiv preprint arXiv:1603.07285, 2016
332016
Multi-view stereo with single-view semantic mesh refinement
A Romanoni, M Ciccone, F Visin, M Matteucci
Proceedings of the IEEE International Conference on Computer Vision …, 2017
212017
Small data, big decisions: Model selection in the small-data regime
J Bornschein, F Visin, S Osindero
International Conference on Machine Learning, 1035-1044, 2020
92020
Dataset loaders: a python library to load and preprocess datasets
F Visin, A Romero
https://github.com/fvisin/dataset_loaders, 2016
42016
Temporal Difference Uncertainties as a Signal for Exploration
S Flennerhag, JX Wang, P Sprechmann, F Visin, A Galashov, ...
arXiv preprint arXiv:2010.02255, 2020
22020
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation
F Lattari, M Ciccone, M Matteucci, J Masci, F Visin
arXiv preprint arXiv:1806.05510, 2018
22018
Deep recurrent neural networks for visual scene understanding
F VISIN
Italy, 2017
12017
Learning rich touch representations through cross-modal self-supervision
M Zambelli, Y Aytar, F Visin, Y Zhou, R Hadsell
arXiv preprint arXiv:2101.08616, 2021
2021
Mollifying Networks
Į Gülįehre, M Moczulski, F Visin, Y Bengio
ICLR (Poster), 2017
2017
Main loop TF: a main loop for Tensorflow and custom data
F Visin
https://github.com/fvisin/main_loop_tf, 2017
2017
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Articles 1–19