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With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations


Apr 29, 2021
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman


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Manipulator-Independent Representations for Visual Imitation


Mar 18, 2021
Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis


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Learning rich touch representations through cross-modal self-supervision


Jan 21, 2021
Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell


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Semi-supervised reward learning for offline reinforcement learning


Dec 12, 2020
Ksenia Konyushkova, Konrad Zolna, Yusuf Aytar, Alexander Novikov, Scott Reed, Serkan Cabi, Nando de Freitas

* Accepted to Offline Reinforcement Learning Workshop at Neural Information Processing Systems (2020) 

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Offline Learning from Demonstrations and Unlabeled Experience


Nov 27, 2020
Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Caglar Gulcehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott Reed

* Accepted to Offline Reinforcement Learning Workshop at Neural Information Processing Systems (2020) 

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Large-scale multilingual audio visual dubbing


Nov 06, 2020
Yi Yang, Brendan Shillingford, Yannis Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas

* 26 pages, 8 figures 

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Counting Out Time: Class Agnostic Video Repetition Counting in the Wild


Jun 27, 2020
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman

* Accepted at CVPR 2020. Project webpage: https://sites.google.com/view/repnet 

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Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation


Oct 21, 2019
Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori


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A Framework for Data-Driven Robotics


Sep 26, 2019
Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott Reed, Rae Jeong, Konrad Żołna, Yusuf Aytar, David Budden, Mel Vecerik, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang


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Temporal Cycle-Consistency Learning


Apr 16, 2019
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman

* Accepted at CVPR 2019. Project webpage: https://sites.google.com/view/temporal-cycle-consistency 

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Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images


Oct 14, 2018
Javier Marin, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba

* Submitted to Transactions on Pattern Analysis and Machine Intelligence 

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One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL


Oct 11, 2018
Tom Le Paine, Sergio Gómez Colmenarejo, Ziyu Wang, Scott Reed, Yusuf Aytar, Tobias Pfaff, Matt W. Hoffman, Gabriel Barth-Maron, Serkan Cabi, David Budden, Nando de Freitas


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Playing hard exploration games by watching YouTube


May 29, 2018
Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas


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Exploiting Convolution Filter Patterns for Transfer Learning


Aug 23, 2017
Mehmet Aygün, Yusuf Aytar, Hazım Kemal Ekenel

* Accepted to TASK-CV Workshop at ICCV 2017 

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See, Hear, and Read: Deep Aligned Representations


Jun 03, 2017
Yusuf Aytar, Carl Vondrick, Antonio Torralba


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Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media


Mar 09, 2017
Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marin, Antonio Torralba, Ingmar Weber

* This is a preprint of a short paper accepted at ICWSM'17. Please cite that version instead 

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Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health


Feb 21, 2017
Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba

* This is a pre-print of our paper accepted to appear in the Proceedings of 2017 International World Wide Web Conference (WWW'17) 

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Cross-Modal Scene Networks


Oct 27, 2016
Yusuf Aytar, Lluis Castrejon, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

* See more at http://cmplaces.csail.mit.edu/. arXiv admin note: text overlap with arXiv:1607.07295 

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SoundNet: Learning Sound Representations from Unlabeled Video


Oct 27, 2016
Yusuf Aytar, Carl Vondrick, Antonio Torralba

* NIPS 2016 

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How Transferable are CNN-based Features for Age and Gender Classification?


Oct 01, 2016
Gökhan Özbulak, Yusuf Aytar, Hazım Kemal Ekenel

* 12 pages, 3 figures, 2 tables, International Conference of the Biometrics Special Interest Group (BIOSIG) 2016 

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Learning Aligned Cross-Modal Representations from Weakly Aligned Data


Jul 25, 2016
Lluis Castrejon, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

* Conference paper at CVPR 2016 

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