Mateusz Malinowski
Mateusz Malinowski
Research Scientist, Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Relational inductive biases, deep learning, and graph networks
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 2018
13302018
A simple neural network module for relational reasoning
A Santoro, D Raposo, DGT Barrett, M Malinowski, R Pascanu, P Battaglia, ...
arXiv preprint arXiv:1706.01427, 2017
10992017
A multi-world approach to question answering about real-world scenes based on uncertain input
M Malinowski, M Fritz
Advances in neural information processing systems 27, 1682-1690, 2014
6032014
Ask your neurons: A neural-based approach to answering questions about images
M Malinowski, M Rohrbach, M Fritz
Proceedings of the IEEE international conference on computer vision, 1-9, 2015
5832015
Learning to navigate in cities without a map
P Mirowski, M Grimes, M Malinowski, KM Hermann, K Anderson, ...
Advances in Neural Information Processing Systems 31, 2419-2430, 2018
1712018
Multi-Cue Zero-Shot Learning with Strong Supervision
Z Akata, M Malinowski, M Fritz, B Schiele
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
1142016
Hyperbolic attention networks
C Gulcehre, M Denil, M Malinowski, A Razavi, R Pascanu, KM Hermann, ...
arXiv preprint arXiv:1805.09786, 2018
942018
Ask your neurons: A deep learning approach to visual question answering
M Malinowski, M Rohrbach, M Fritz
International Journal of Computer Vision 125 (1), 110-135, 2017
862017
Towards a Visual Turing Challenge
M Malinowski, M Fritz
NIPS Workshop on Learning Semantics, 2014
742014
Learning Visual Question Answering by Bootstrapping Hard Attention
M Malinowski, C Doersch, A Santoro, P Battaglia
The European Conference on Computer Vision (ECCV), 2018
662018
Learnable pooling regions for image classification
M Malinowski, M Fritz
ICLR Workshop, 2013
462013
Learning Smooth Pooling Regions for Visual Recognition
M Malinowski, M Fritz
British Machine Vision Conference 2013, 2013
342013
Long-Term Image Boundary Prediction
A Bhattacharyya, M Malinowski, B Schiele, M Fritz
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
27*2018
Learning to follow directions in street view
M Malinowski, KM Hermann, P Mirowski, A Banki-Horvath, K Anderson, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11773 …, 2020
24*2020
A pooling approach to modelling spatial relations for image retrieval and annotation
M Malinowski, M Fritz
arXiv preprint arXiv:1411.5190, 2014
222014
The streetlearn environment and dataset
P Mirowski, A Banki-Horvath, K Anderson, D Teplyashin, KM Hermann, ...
arXiv preprint arXiv:1903.01292, 2019
202019
Visual grounding in video for unsupervised word translation
GA Sigurdsson, JB Alayrac, A Nematzadeh, L Smaira, M Malinowski, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
182020
Playing the game of universal adversarial perturbations
J Perolat, M Malinowski, B Piot, O Pietquin
arXiv preprint arXiv:1809.07802, 2018
152018
Answering visual what-if questions: From actions to predicted scene descriptions
M Wagner, H Basevi, R Shetty, W Li, M Malinowski, M Fritz, A Leonardis
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
132018
The visual QA devil in the details: The impact of early fusion and batch norm on clevr
M Malinowski, C Doersch
arXiv preprint arXiv:1809.04482, 2018
102018
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