Raghudeep Gadde
Raghudeep Gadde
MPI-IS
Verified email at tuebingen.mpg.de
TitleCited byYear
Video propagation networks
V Jampani, R Gadde, PV Gehler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
912017
MoViMash: online mobile video mashup
MK Saini, R Gadde, S Yan, WT Ooi
Proceedings of the 20th ACM international conference on Multimedia, 139-148, 2012
672012
Superpixel convolutional networks using bilateral inceptions
R Gadde, V Jampani, M Kiefel, D Kappler, PV Gehler
European Conference on Computer Vision, 597-613, 2016
442016
Semantic video cnns through representation warping
R Gadde, V Jampani, PV Gehler
Proceedings of the IEEE International Conference on Computer Vision, 4453-4462, 2017
422017
Efficient 2D and 3D facade segmentation using auto-context
R Gadde, V Jampani, R Marlet, PV Gehler
IEEE transactions on pattern analysis and machine intelligence 40 (5), 1273-1280, 2017
232017
A MRF shape prior for facade parsing with occlusions
M Kozinski, R Gadde, S Zagoruyko, G Obozinski, R Marlet
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
232015
Efficient facade segmentation using auto-context
V Jampani, R Gadde, PV Gehler
2015 IEEE Winter Conference on Applications of Computer Vision, 1038-1045, 2015
162015
Learning grammars for architecture-specific facade parsing
R Gadde, R Marlet, N Paragios
International Journal of Computer Vision 117 (3), 290-316, 2016
152016
Aesthetic guideline driven photography by robots
R Gadde, K Karlapalem
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
132011
Semantic Segmentation of Highly Structured and Weakly Structured Images
RD Gadde
2017
Segmentation s? mantique d'images fortement structur? es et faiblement structur? es
RD Gadde
Paris Est, 2017
2017
Supplementary Material: Efficient 2D and 3D Facade Segmentation using Auto-Context
R Gadde, V Jampani, R Marlet, P Gehler
Supplementary Material for Video Propagation Networks
V Jampani, R Gadde, PV Gehler
Supplementary Material for Superpixel Convolutional Networks using Bilateral Inceptions
R Gadde, V Jampani, M Kiefel, D Kappler, PV Gehler
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Articles 1–14