Alexander Schwing
Title
Cited by
Cited by
Year
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
5282017
Efficient deep learning for stereo matching
W Luo, AG Schwing, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
4332016
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
3782013
Fully connected deep structured networks
AG Schwing, R Urtasun
arXiv preprint arXiv:1503.02351, 2015
2382015
Learning deep structured models
LC Chen, A Schwing, A Yuille, R Urtasun
International Conference on Machine Learning, 1785-1794, 2015
2122015
Dialog-based language learning
JE Weston
Advances in Neural Information Processing Systems, 829-837, 2016
149*2016
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
1362015
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
1302015
Efficient exact inference for 3d indoor scene understanding
AG Schwing, R Urtasun
European Conference on Computer Vision, 299-313, 2012
1222012
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
1182013
Convolutional image captioning
J Aneja, A Deshpande, AG Schwing
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1152018
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
1112012
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
1072015
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
962014
Distributed message passing for large scale graphical models
A Schwing, T Hazan, M Pollefeys, R Urtasun
CVPR 2011, 1833-1840, 2011
832011
Videomatch: Matching based video object segmentation
YT Hu, JB Huang, AG Schwing
Proceedings of the European Conference on Computer Vision (ECCV), 54-70, 2018
742018
Creativity: Generating diverse questions using variational autoencoders
U Jain, Z Zhang, AG Schwing
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
732017
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
702013
Maskrnn: Instance level video object segmentation
YT Hu, JB Huang, A Schwing
Advances in neural information processing systems, 325-334, 2017
692017
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
682017
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