Követés
Ozan Sener
Ozan Sener
Apple
E-mail megerősítve itt: cs.stanford.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Active Learning for Convolutional Neural Networks: A Core-Set Approach
O Sener, S Savarese
International Conference on Learning Representations (ICLR), 2018
22932018
3d semantic parsing of large-scale indoor spaces
I Armeni, O Sener, AR Zamir, H Jiang, I Brilakis, M Fischer, S Savarese
Proceedings of the IEEE conference on computer vision and pattern …, 2016
21282016
Multi-task learning as multi-objective optimization
O Sener, V Koltun
Advances in neural information processing systems 31, 2018
14442018
Generalizing to unseen domains via adversarial data augmentation
R Volpi, H Namkoong, O Sener, JC Duchi, V Murino, S Savarese
Advances in neural information processing systems 31, 2018
9322018
Learning transferrable representations for unsupervised domain adaptation
O Sener, HO Song, A Saxena, S Savarese
Advances in neural information processing systems 29, 2016
3492016
Robobrain: Large-scale knowledge engine for robots
A Saxena, A Jain, O Sener, A Jami, DK Misra, HS Koppula
arXiv preprint arXiv:1412.0691, 2014
2302014
MSeg: A composite dataset for multi-domain semantic segmentation
J Lambert, Z Liu, O Sener, J Hays, V Koltun
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2212020
Watch-n-Patch: Unsupervised Learning of Actions and Relations
C Wu, J Zhang, O Sener, B Selman, S Savarese, A Saxena
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
209*2017
Unsupervised semantic parsing of video collections
O Sener, AR Zamir, S Savarese, A Saxena
Proceedings of the IEEE International conference on Computer Vision, 4480-4488, 2015
1262015
Deep learning under privileged information using heteroscedastic dropout
J Lambert, O Sener, S Savarese
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1162018
Online continual learning with natural distribution shifts: An empirical study with visual data
Z Cai, O Sener, V Koltun
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1012021
Hausdorff dimension, heavy tails, and generalization in neural networks
U Simsekli, O Sener, G Deligiannidis, MA Erdogdu
Advances in Neural Information Processing Systems 33, 5138-5151, 2020
69*2020
Automatically learning and controlling connected devices
A Saxena, HS Koppula, C Wu, O Sener
US Patent 10,270,609, 2019
672019
image2mass: Estimating the mass of an object from its image
T Standley, O Sener, D Chen, S Savarese
Conference on Robot Learning, 324-333, 2017
642017
Online continual learning without the storage constraint
A Prabhu, Z Cai, P Dokania, P Torr, V Koltun, O Sener
arXiv preprint arXiv:2305.09253, 2023
342023
Error-tolerant interactive image segmentation by using dynamic and iterated graph-cuts
O Sener, K Ugur, A Alatan
ACM Multimedia 2012 Workshop IMMPD, 2012
332012
Drinking from a firehose: Continual learning with web-scale natural language
H Hu, O Sener, F Sha, V Koltun
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5684-5696, 2022
312022
Modeling and optimization trade-off in meta-learning
K Gao, O Sener
Advances in Neural Information Processing Systems 33, 11154-11165, 2020
312020
Learning a Generative Model for Multi‐Step Human‐Object Interactions from Videos
H Wang, S Pirk, E Yumer, VG Kim, O Sener, S Sridhar, LJ Guibas
Computer Graphics Forum 38 (2), 367-378, 2019
312019
rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos.
O Sener, A Saxena
Robotics: Science and systems, 2015
312015
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Cikkek 1–20