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Alexander Schwing
Alexander Schwing
Bestätigte E-Mail-Adresse bei illinois.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
10572017
Efficient deep learning for stereo matching
W Luo, AG Schwing, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2016
7472016
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
5392013
Fully connected deep structured networks
AG Schwing, R Urtasun
arXiv preprint arXiv:1503.02351, 2015
3212015
Convolutional image captioning
J Aneja, A Deshpande, AG Schwing
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2992018
Learning deep structured models
LC Chen, A Schwing, A Yuille, R Urtasun
International Conference on Machine Learning, 1785-1794, 2015
2792015
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
2052015
Videomatch: Matching based video object segmentation
YT Hu, JB Huang, AG Schwing
Proceedings of the European conference on computer vision (ECCV), 54-70, 2018
1992018
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
1912015
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
1642018
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
1642015
Maskrnn: Instance level video object segmentation
YT Hu, JB Huang, A Schwing
Advances in neural information processing systems 30, 2017
1562017
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
1492017
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
1492013
Generative modeling using the sliced wasserstein distance
I Deshpande, Z Zhang, AG Schwing
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1482018
Creativity: Generating diverse questions using variational autoencoders
U Jain, Z Zhang, AG Schwing
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1452017
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
1442012
Efficient exact inference for 3d indoor scene understanding
AG Schwing, R Urtasun
European conference on computer vision, 299-313, 2012
1422012
Per-pixel classification is not all you need for semantic segmentation
B Cheng, A Schwing, A Kirillov
Advances in Neural Information Processing Systems 34, 17864-17875, 2021
1352021
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
1212014
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