Yusuf Aytar
Yusuf Aytar
Research Scientist, DeepMind
Dirección de correo verificada de csail.mit.edu - Página principal
Título
Citado por
Citado por
Año
SoundNet: Learning Sound Representations from Unlabeled Video
Y Aytar, C Vondrick, A Torralba
Neural Information Processing Systems, 2016
5182016
Tabula rasa: Model transfer for object category detection
Y Aytar, A Zisserman
2011 international conference on computer vision, 2252-2259, 2011
3382011
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
1862017
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
1212018
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
1042016
See, hear, and read: Deep aligned representations
Y Aytar, C Vondrick, A Torralba
arXiv preprint arXiv:1706.00932, 2017
812017
Sickle cell detection using a smartphone
SM Knowlton, I Sencan, Y Aytar, J Khoory, MM Heeney, IC Ghiran, ...
Scientific reports 5, 15022, 2015
702015
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
692008
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
642017
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
632016
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
532019
Enhancing Exemplar SVMs using Part Level Transfer Regularization
Y Aytar, A Zisserman
BMVC, 2012
482012
Temporal cycle-consistency learning
D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
412019
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
372017
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
342007
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
arXiv preprint arXiv:1703.03156, 2017
302017
Transfer learning for object category detection
A Zisserman, Y Aytar
University of Oxford, 2014
152014
Part level transfer regularization for enhancing exemplar svms
Y Aytar, A Zisserman
Computer Vision and Image Understanding 138, 114-123, 2015
132015
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
102018
Immediate, scalable object category detection
Y Aytar, A Zisserman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
102014
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Artículos 1–20