Seguir
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
12022016
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
6332017
Tabula rasa: Model transfer for object category detection
Y Aytar, A Zisserman
2011 international conference on computer vision, 2252-2259, 2011
4402011
With a little help from my friends: Nearest-neighbor contrastive learning of visual representations
D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
3842021
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 31, 2018
2952018
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
2872019
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
1882016
See, hear, and read: Deep aligned representations
Y Aytar, C Vondrick, A Torralba
arXiv preprint arXiv:1706.00932, 2017
1622017
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
1472017
Sickle cell detection using a smartphone
SM Knowlton, I Sencan, Y Aytar, J Khoory, MM Heeney, IC Ghiran, ...
Scientific reports 5 (1), 15022, 2015
1332015
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
1302016
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
1242019
Counting out time: Class agnostic video repetition counting in the wild
D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1002020
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 …, 2017
982017
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
882008
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
762017
Offline learning from demonstrations and unlabeled experience
K Zolna, A Novikov, K Konyushkova, C Gulcehre, Z Wang, Y Aytar, ...
arXiv preprint arXiv:2011.13885, 2020
592020
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
572020
Tap-vid: A benchmark for tracking any point in a video
C Doersch, A Gupta, L Markeeva, A Recasens, L Smaira, Y Aytar, ...
Advances in Neural Information Processing Systems 35, 13610-13626, 2022
542022
Enhancing Exemplar SVMs using Part Level Transfer Regularization
Y Aytar, A Zisserman
BMVC, 2012
522012
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20