| 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 | 504 | 2016 |
| Active Learning for Convolutional Neural Networks: A Core-Set Approach O Sener, S Savarese International Conference on Learning Representations (ICLR), 2018 | 313 | 2018 |
| Multi-task learning as multi-objective optimization O Sener, V Koltun Advances in Neural Information Processing Systems 31, 527-538, 2018 | 192 | 2018 |
| Learning transferrable representations for unsupervised domain adaptation O Sener, HO Song, A Saxena, S Savarese Advances in Neural Information Processing Systems 29, 2110-2118, 2016 | 187 | 2016 |
| 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 | 140* | 2017 |
| 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 | 140 | 2014 |
| 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, 5334-5344, 2018 | 116 | 2018 |
| 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 | 62 | 2015 |
| 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 | 37 | 2018 |
| Error-tolerant interactive image segmentation by using dynamic and iterated graph-cuts O Sener, K Ugur, A Alatan ACM Multimedia 2012 Workshop IMMPD, 2012 | 27 | 2012 |
| rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos. O Sener, A Saxena Robotics: Science and Systems, 2015 | 18 | 2015 |
| 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 | 11 | 2014 |
| 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 | 10 | 2017 |
| 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 | 8 | 2019 |
| Scene semantic reconstruction from egocentric rgb-d-thermal videos R Luo, O Sener, S Savarese 2017 International Conference on 3D Vision (3DV), 593-602, 2017 | 7 | 2017 |
| INTERACTIVE 2D-3D IMAGE CONVERSION FOR MOBILE DEVICES Y Aksoy, O Sener, A Alatan, K Ugur | 7* | |
| 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 | 6 | 2020 |
| A Stochastic Derivative Free Optimization Method with Momentum E Gorbunov, A Bibi, O Sener, EH Bergou, P Richtárik arXiv preprint arXiv:1905.13278, 2019 | 5 | 2019 |
| Learning to Guide Random Search O Sener, V Koltun arXiv preprint arXiv:2004.12214, 2020 | 4 | 2020 |
| A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control A Bibi, EH Bergou, O Sener, B Ghanem, P Richtarik Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3275-3282, 2020 | 4 | 2020 |
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu
