Raghudeep Gadde
Raghudeep Gadde
MPI-IS
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
Video propagation networks
V Jampani, R Gadde, PV Gehler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1452017
Semantic video cnns through representation warping
R Gadde, V Jampani, PV Gehler
Proceedings of the IEEE International Conference on Computer Vision, 4453-4462, 2017
812017
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
742012
Superpixel convolutional networks using bilateral inceptions
R Gadde, V Jampani, M Kiefel, D Kappler, PV Gehler
European Conference on Computer Vision, 597-613, 2016
732016
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
352017
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
302015
Learning grammars for architecture-specific facade parsing
R Gadde, R Marlet, N Paragios
International Journal of Computer Vision 117 (3), 290-316, 2016
242016
Efficient facade segmentation using auto-context
V Jampani, R Gadde, PV Gehler
2015 IEEE Winter Conference on Applications of Computer Vision, 1038-1045, 2015
242015
Aesthetic guideline driven photography by robots
R Gadde, K Karlapalem
IJCAI, 2060-2065, 2011
172011
Semantic Segmentation of Highly Structured and Weakly Structured Images
RD Gadde
12017
Segmentation sémantique d'images fortement structurées et faiblement structurées
RD Gadde
Paris Est, 2017
2017
Research> Light into Meaning> Facade Segmentation
V Jampani, R Gadde, PV Gehler
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 1–15