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Ozan Sener
Ozan Sener
Apple
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Titel
Zitiert von
Zitiert von
Jahr
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
9802016
Active Learning for Convolutional Neural Networks: A Core-Set Approach
O Sener, S Savarese
International Conference on Learning Representations (ICLR), 2018
8212018
Multi-task learning as multi-objective optimization
O Sener, V Koltun
Advances in neural information processing systems 31, 2018
5362018
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
3782018
Learning transferrable representations for unsupervised domain adaptation
O Sener, HO Song, A Saxena, S Savarese
Advances in neural information processing systems 29, 2016
2732016
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
1722014
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
166*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
952015
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
712020
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
652018
Automatically learning and controlling connected devices
A Saxena, HS Koppula, C Wu, O Sener
US Patent 10,270,609, 2019
562019
Error-tolerant interactive image segmentation by using dynamic and iterated graph-cuts
O Sener, K Ugur, A Alatan
ACM Multimedia 2012 Workshop IMMPD, 2012
302012
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
26*2020
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
222017
rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos.
O Sener, A Saxena
Robotics: Science and systems, 2015
222015
Modeling and optimization trade-off in meta-learning
K Gao, O Sener
Advances in Neural Information Processing Systems 33, 11154-11165, 2020
172020
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
162019
A stochastic derivative free optimization method with momentum
E Gorbunov, A Bibi, O Sener, EH Bergou, P Richtárik
arXiv preprint arXiv:1905.13278, 2019
152019
Efficient MRF energy propagation for video segmentation via bilateral filters
O Şener, K Ugur, AA Alatan
IEEE transactions on multimedia 16 (5), 1292-1302, 2014
132014
Learning to guide random search
O Sener, V Koltun
arXiv preprint arXiv:2004.12214, 2020
102020
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