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Alexander Schwing
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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
10112017
Efficient deep learning for stereo matching
W Luo, AG Schwing, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2016
7132016
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
5212013
Fully connected deep structured networks
AG Schwing, R Urtasun
arXiv preprint arXiv:1503.02351, 2015
3142015
Convolutional image captioning
J Aneja, A Deshpande, AG Schwing
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2852018
Learning deep structured models
LC Chen, A Schwing, A Yuille, R Urtasun
International Conference on Machine Learning, 1785-1794, 2015
2732015
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
1972015
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
1872015
Videomatch: Matching based video object segmentation
YT Hu, JB Huang, AG Schwing
Proceedings of the European conference on computer vision (ECCV), 54-70, 2018
1822018
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
1612015
Maskrnn: Instance level video object segmentation
YT Hu, JB Huang, A Schwing
Advances in neural information processing systems 30, 2017
1532017
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
1462013
Out of the box: Reasoning with graph convolution nets for factual visual question answering
M Narasimhan, S Lazebnik, A Schwing
Advances in neural information processing systems 31, 2018
1412018
Creativity: Generating diverse questions using variational autoencoders
U Jain, Z Zhang, AG Schwing
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1382017
Efficient exact inference for 3d indoor scene understanding
AG Schwing, R Urtasun
European conference on computer vision, 299-313, 2012
1382012
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
1382012
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 30, 2017
1362017
Generative modeling using the sliced wasserstein distance
I Deshpande, Z Zhang, AG Schwing
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1332018
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
1192014
Rent3d: Floor-plan priors for monocular layout estimation
C Liu, AG Schwing, K Kundu, R Urtasun, S Fidler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
1012015
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