Francesco Visin
Francesco Visin
Research scientist at Google DeepMind
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TitleCited byYear
A guide to convolution arithmetic for deep learning
V Dumoulin, F Visin
arXiv preprint arXiv:1603.07285, 2016
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 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
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
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
Mollifying networks
C Gulcehre, M Moczulski, F Visin, Y Bengio
arXiv preprint arXiv:1608.04980, 2016
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
Dataset loaders: a python library to load and preprocess datasets
F Visin, A Romero, 2016
Continual Unsupervised Representation Learning
D Rao, F Visin, A Rusu, R Pascanu, YW Teh, R Hadsell
Advances in Neural Information Processing Systems, 7645-7655, 2019
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
Deep recurrent neural networks for visual scene understanding
Italy, 2017
Main loop TF: a main loop for Tensorflow and custom data
F Visin, 2017
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Articles 1–12