Alexander Schwing
TitleCited byYear
Semantic image inpainting with deep generative models
RA Yeh, C Chen, T Yian Lim, AG Schwing, M Hasegawa-Johnson, MN Do
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
3612017
Efficient deep learning for stereo matching
W Luo, AG Schwing, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
3462016
Real-time 3D imaging of Haines jumps in porous media flow
S Berg, H Ott, SA Klapp, A Schwing, R Neiteler, N Brussee, A Makurat, ...
Proceedings of the National Academy of Sciences 110 (10), 3755-3759, 2013
3402013
Fully connected deep structured networks
AG Schwing, R Urtasun
arXiv preprint arXiv:1503.02351, 2015
2272015
Learning deep structured models
LC Chen, A Schwing, A Yuille, R Urtasun
International Conference on Machine Learning, 1785-1794, 2015
1832015
From connected pathway flow to ganglion dynamics
M Rücker, S Berg, RT Armstrong, A Georgiadis, H Ott, A Schwing, ...
Geophysical Research Letters 42 (10), 3888-3894, 2015
1202015
Learning to segment under various forms of weak supervision
J Xu, AG Schwing, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1142015
Efficient exact inference for 3d indoor scene understanding
AG Schwing, R Urtasun
European Conference on Computer Vision, 299-313, 2012
1132012
Dialog-based language learning
JE Weston
Advances in Neural Information Processing Systems, 829-837, 2016
112*2016
Box in the box: Joint 3d layout and object reasoning from single images
AG Schwing, S Fidler, M Pollefeys, R Urtasun
Proceedings of the IEEE International Conference on Computer Vision, 353-360, 2013
1102013
Efficient structured prediction for 3d indoor scene understanding
AG Schwing, T Hazan, M Pollefeys, R Urtasun
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2815-2822, 2012
1042012
Tell me what you see and i will show you where it is
J Xu, AG Schwing, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2014
912014
Monocular object instance segmentation and depth ordering with cnns
Z Zhang, AG Schwing, S Fidler, R Urtasun
Proceedings of the IEEE International Conference on Computer Vision, 2614-2622, 2015
872015
Distributed message passing for large scale graphical models
A Schwing, T Hazan, M Pollefeys, R Urtasun
CVPR 2011, 1833-1840, 2011
802011
Convolutional image captioning
J Aneja, A Deshpande, AG Schwing
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
772018
Efficient structured prediction with latent variables for general graphical models
A Schwing, T Hazan, M Pollefeys, R Urtasun
arXiv preprint arXiv:1206.6436, 2012
662012
Estimating the 3d layout of indoor scenes and its clutter from depth sensors
J Zhang, C Kan, AG Schwing, R Urtasun
Proceedings of the IEEE International Conference on Computer Vision, 1273-1280, 2013
642013
Multiphase flow in porous rock imaged under dynamic flow conditions with fast X-ray computed microtomography
S Berg, R Armstrong, H Ott, A Georgiadis, SA Klapp, A Schwing, ...
Petrophysics 55 (04), 304-312, 2014
612014
Diverse and accurate image description using a variational auto-encoder with an additive gaussian encoding space
L Wang, A Schwing, S Lazebnik
Advances in Neural Information Processing Systems, 5756-5766, 2017
582017
Creativity: Generating diverse questions using variational autoencoders
U Jain, Z Zhang, AG Schwing
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
582017
The system can't perform the operation now. Try again later.
Articles 1–20