Yusuf Aytar
Yusuf Aytar
Research Scientist, DeepMind
Verified email at csail.mit.edu - Homepage
TitleCited byYear
SoundNet: Learning Sound Representations from Unlabeled Video
Y Aytar, C Vondrick, A Torralba
Neural Information Processing Systems, 2016
3152016
Tabula rasa: Model transfer for object category detection
Y Aytar, A Zisserman
2011 international conference on computer vision, 2252-2259, 2011
2942011
Learning cross-modal embeddings for cooking recipes and food images
A Salvador, N Hynes, Y Aytar, J Marin, F Ofli, I Weber, A Torralba
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1072017
Learning aligned cross-modal representations from weakly aligned data
L Castrejon, Y Aytar, C Vondrick, H Pirsiavash, A Torralba
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
772016
Utilizing semantic word similarity measures for video retrieval
Y Aytar, M Shah, J Luo
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
642008
Playing hard exploration games by watching youtube
Y Aytar, T Pfaff, D Budden, T Paine, Z Wang, N de Freitas
Advances in Neural Information Processing Systems, 2930-2941, 2018
602018
Sickle cell detection using a smartphone
SM Knowlton, I Sencan, Y Aytar, J Khoory, MM Heeney, IC Ghiran, ...
Scientific reports 5, 15022, 2015
512015
See, hear, and read: Deep aligned representations
Y Aytar, C Vondrick, A Torralba
arXiv preprint arXiv:1706.00932, 2017
502017
How transferable are CNN-based features for age and gender classification?
G Ozbulak, Y Aytar, HK Ekenel
2016 International Conference of the Biometrics Special Interest Group …, 2016
462016
Enhancing Exemplar SVMs using Part Level Transfer Regularization
Y Aytar, A Zisserman
BMVC, 2012
432012
Cross-modal scene networks
Y Aytar, L Castrejon, C Vondrick, H Pirsiavash, A Torralba
IEEE transactions on pattern analysis and machine intelligence 40 (10), 2303 …, 2017
382017
Improving semantic concept detection and retrieval using contextual estimates
Y Aytar, OB Orhan, M Shah
2007 IEEE International Conference on Multimedia and Expo, 536-539, 2007
322007
Is saki# delicious?: The food perception gap on instagram and its relation to health
F Ofli, Y Aytar, I Weber, R Al Hammouri, A Torralba
Proceedings of the 26th International Conference on World Wide Web, 509-518, 2017
302017
Face-to-bmi: Using computer vision to infer body mass index on social media
E Kocabey, M Camurcu, F Ofli, Y Aytar, J Marin, A Torralba, I Weber
Eleventh International AAAI Conference on Web and Social Media, 2017
242017
Part level transfer regularization for enhancing exemplar svms
Y Aytar, A Zisserman
Computer Vision and Image Understanding 138, 114-123, 2015
122015
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
J Marin, A Biswas, F Ofli, N Hynes, A Salvador, Y Aytar, I Weber, ...
IEEE transactions on pattern analysis and machine intelligence, 2019
92019
Transfer learning for object category detection
Y Aytar
Oxford University, UK, 2014
92014
Immediate, scalable object category detection
Y Aytar, A Zisserman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
92014
One-shot high-fidelity imitation: Training large-scale deep nets with rl
TL Paine, SG Colmenarejo, Z Wang, S Reed, Y Aytar, T Pfaff, ...
arXiv preprint arXiv:1810.05017, 2018
62018
Characterization of non-line-of-sight (NLOS) bias via analysis of clutter topology
M Hussain, Y Aytar, N Trigoni, A Markham
Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium …, 2012
62012
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Articles 1–20