Roland Memisevic

According to our database1, Roland Memisevic authored at least 56 papers between 2004 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Hierarchical Video Understanding.
CoRR, 2018

Fine-grained Video Classification and Captioning.
CoRR, 2018

2017
The "something something" video database for learning and evaluating visual common sense.
CoRR, 2017

The "Something Something" Video Database for Learning and Evaluating Visual Common Sense.
Proceedings of the IEEE International Conference on Computer Vision, 2017

RATM: Recurrent Attentive Tracking Model.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Denoising Criterion for Variational Auto-Encoding Framework.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
EmoNets: Multimodal deep learning approaches for emotion recognition in video.
J. Multimodal User Interfaces, 2016

Architectural Complexity Measures of Recurrent Neural Networks.
CoRR, 2016

Generating images with recurrent adversarial networks.
CoRR, 2016

Incorporating long-range consistency in CNN-based texture generation.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

Architectural Complexity Measures of Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Learning Vector Quantization.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Conservativeness of Untied Auto-Encoders.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
The Potential Energy of an Autoencoder.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

How far can we go without convolution: Improving fully-connected networks.
CoRR, 2015

Neural Networks with Few Multiplications.
CoRR, 2015

Regularizing RNNs by Stabilizing Activations.
CoRR, 2015

Dropout as data augmentation.
CoRR, 2015

RATM: Recurrent Attentive Tracking Model.
CoRR, 2015

EmoNets: Multimodal deep learning approaches for emotion recognition in video.
CoRR, 2015

Conservativeness of untied auto-encoders.
CoRR, 2015

Denoising Criterion for Variational Auto-Encoding Framework.
CoRR, 2015

Montreal Neural Machine Translation Systems for WMT'15.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

Learning Visual Odometry with a Convolutional Network.
Proceedings of the VISAPP 2015, 2015

Recurrent Neural Networks for Emotion Recognition in Video.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Deep learning: Architectures, algorithms, applications.
Proceedings of the 2015 IEEE Hot Chips 27 Symposium (HCS), 2015

Real-time activity recognition via deep learning of motion features.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

On Using Very Large Target Vocabulary for Neural Machine Translation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Modeling sequential data using higher-order relational features and predictive training.
CoRR, 2014

Zero-bias autoencoders and the benefits of co-adapting features.
CoRR, 2014

On Using Very Large Target Vocabulary for Neural Machine Translation.
CoRR, 2014

Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells".
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A unified approach to learning depth and motion features.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

2013
Learning to Relate Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Feature grouping from spatially constrained multiplicative interaction
CoRR, 2013

The role of spatio-temporal synchrony in the encoding of motion.
CoRR, 2013

Unsupervised learning of depth and motion.
CoRR, 2013

Learning invariant features by harnessing the aperture problem.
Proceedings of the 30th International Conference on Machine Learning, 2013

On autoencoder scoring.
Proceedings of the 30th International Conference on Machine Learning, 2013


2012
Shared Kernel Information Embedding for Discriminative Inference.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

On multi-view feature learning
CoRR, 2012

On multi-view feature learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Learning to relate images: Mapping units, complex cells and simultaneous eigenspaces
CoRR, 2011

Gradient-based learning of higher-order image features.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Modeling the joint density of two images under a variety of transformations.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines.
Neural Computation, 2010

Gated Softmax Classification.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Shared Kernel Information Embedding for discriminative inference.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007
Unsupervised Learning of Image Transformations.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Learning to Solve QBF.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Kernel information embeddings.
Proceedings of the Machine Learning, 2006

2005
Principal Surfaces from Unsupervised Kernel Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Improving dimensionality reduction with spectral gradient descent.
Neural Networks, 2005

2004
Multiple Relational Embedding.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004


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