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Roland Memisevic

University of Frankfurt

Hierarchical Video Understanding

Sep 04, 2018
Farzaneh Mahdisoltani, Roland Memisevic, David Fleet


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Fine-grained Video Classification and Captioning

Apr 24, 2018
Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, David Fleet, Roland Memisevic


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The "something something" video database for learning and evaluating visual common sense

Jun 15, 2017
Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzyńska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fruend, Peter Yianilos, Moritz Mueller-Freitag, Florian Hoppe, Christian Thurau, Ingo Bax, Roland Memisevic


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Generating images with recurrent adversarial networks

Dec 13, 2016
Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang, Roland Memisevic


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Architectural Complexity Measures of Recurrent Neural Networks

Nov 12, 2016
Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio

* 17 pages, 8 figures; To appear in NIPS2016 

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Theano: A Python framework for fast computation of mathematical expressions

May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre-Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

* 19 pages, 5 figures 

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RATM: Recurrent Attentive Tracking Model

Apr 28, 2016
Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic


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Regularizing RNNs by Stabilizing Activations

Apr 26, 2016
David Krueger, Roland Memisevic


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Neural Networks with Few Multiplications

Feb 26, 2016
Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic, Yoshua Bengio

* Published as a conference paper at ICLR 2016. 9 pages, 3 figures 

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Dropout as data augmentation

Jan 08, 2016
Xavier Bouthillier, Kishore Konda, Pascal Vincent, Roland Memisevic


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Denoising Criterion for Variational Auto-Encoding Framework

Jan 04, 2016
Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio

* ICLR conference submission 

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How far can we go without convolution: Improving fully-connected networks

Nov 09, 2015
Zhouhan Lin, Roland Memisevic, Kishore Konda

* 10 pages, 11 figures, submitted for ICLR 2016 

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Conservativeness of untied auto-encoders

Sep 21, 2015
Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic


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Zero-bias autoencoders and the benefits of co-adapting features

Apr 08, 2015
Kishore Konda, Roland Memisevic, David Krueger


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EmoNets: Multimodal deep learning approaches for emotion recognition in video

Mar 30, 2015
Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Caglar Gulcehre, Vincent Michalski, Kishore Konda, SĂ©bastien Jean, Pierre Froumenty, Yann Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron Courville, Pascal Vincent, Roland Memisevic, Christopher Pal, Yoshua Bengio


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On Using Very Large Target Vocabulary for Neural Machine Translation

Mar 18, 2015
SĂ©bastien Jean, Kyunghyun Cho, Roland Memisevic, Yoshua Bengio


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Modeling sequential data using higher-order relational features and predictive training

Feb 10, 2014
Vincent Michalski, Roland Memisevic, Kishore Konda


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Learning to encode motion using spatio-temporal synchrony

Feb 10, 2014
Kishore Reddy Konda, Roland Memisevic, Vincent Michalski


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Unsupervised learning of depth and motion

Dec 16, 2013
Kishore Konda, Roland Memisevic


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Feature grouping from spatially constrained multiplicative interaction

Mar 11, 2013
Felix Bauer, Roland Memisevic

* (new version:) added training formulae; added minor clarifications 

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On multi-view feature learning

Jun 18, 2012
Roland Memisevic

* ICML2012 

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

Apr 05, 2012
Roland Memisevic

* Revised argument in sections 4 and 3.3. Added illustration of subspaces (Figure 13). Added inference Equation (Eq. 17) 

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