Yusuf Aytar
Yusuf Aytar
Research Scientist, DeepMind
Vahvistettu sähköpostiosoite verkkotunnuksessa csail.mit.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
SoundNet: Learning Sound Representations from Unlabeled Video
Y Aytar, C Vondrick, A Torralba
Neural Information Processing Systems, 2016
7392016
Tabula rasa: Model transfer for object category detection
Y Aytar, A Zisserman
2011 international conference on computer vision, 2252-2259, 2011
3892011
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
2632017
Playing hard exploration games by watching youtube
Y Aytar, T Pfaff, D Budden, TL Paine, Z Wang, N de Freitas
arXiv preprint arXiv:1805.11592, 2018
1752018
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
1302016
Temporal cycle-consistency learning
D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1132019
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 43 (1), 187-203, 2019
1042019
See, hear, and read: Deep aligned representations
Y Aytar, C Vondrick, A Torralba
arXiv preprint arXiv:1706.00932, 2017
1012017
Sickle cell detection using a smartphone
SM Knowlton, I Sencan, Y Aytar, J Khoory, MM Heeney, IC Ghiran, ...
Scientific reports 5 (1), 1-11, 2015
932015
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
922017
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
862016
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
782008
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
502017
Enhancing Exemplar SVMs using Part Level Transfer Regularization
Y Aytar, A Zisserman
BMVC, 2012
502012
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
Proceedings of the International AAAI Conference on Web and Social Media 11 (1), 2017
482017
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
382007
Scaling data-driven robotics with reward sketching and batch reinforcement learning
S Cabi, SG Colmenarejo, A Novikov, K Konyushkova, S Reed, R Jeong, ...
arXiv preprint arXiv:1909.12200, 2019
212019
Self-supervised sim-to-real adaptation for visual robotic manipulation
R Jeong, Y Aytar, D Khosid, Y Zhou, J Kay, T Lampe, K Bousmalis, F Nori
2020 IEEE International Conference on Robotics and Automation (ICRA), 2718-2724, 2020
182020
Transfer learning for object category detection
Y Aytar
Oxford University, UK, 2014
182014
Part level transfer regularization for enhancing exemplar svms
Y Aytar, A Zisserman
Computer Vision and Image Understanding 138, 114-123, 2015
162015
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20