Samuel Schulter
Samuel Schulter
Verified email at nec-labs.com - Homepage
Title
Cited by
Cited by
Year
Fast and accurate image upscaling with super-resolution forests
S Schulter, C Leistner, H Bischof
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
5002015
Learning to adapt structured output space for semantic segmentation
YH Tsai, WC Hung, S Schulter, K Sohn, MH Yang, M Chandraker
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
3732018
Deep network flow for multi-object tracking
S Schulter, P Vernaza, W Choi, M Chandraker
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1032017
You should use regression to detect cells
P Kainz, M Urschler, S Schulter, P Wohlhart, V Lepetit
International Conference on Medical Image Computing and Computer-Assisted …, 2015
692015
Alternating Decision Forests
S Schulter, P Wohlhart, C Leistner, A Saffari, PM Roth, H Bischof
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, 2013
692013
Domain adaptation for structured output via discriminative patch representations
YH Tsai, K Sohn, S Schulter, M Chandraker
Proceedings of the IEEE International Conference on Computer Vision, 1456-1465, 2019
562019
Conditioned regression models for non-blind single image super-resolution
G Riegler, S Schulter, M Ruther, H Bischof
Proceedings of the IEEE International Conference on Computer Vision, 522-530, 2015
542015
Alternating regression forests for object detection and pose estimation
S Schulter, C Leistner, P Wohlhart, PM Roth, H Bischof
Proceedings of the IEEE International Conference on Computer Vision, 417-424, 2013
512013
Accurate Object Detection with Joint Classification-Regression Random Forests
S Schulter, C Leistner, P Wohlhart, PM Roth, H Bischof
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, 2014
462014
On-line Hough Forests
S Schulter, C Leistner, PM Roth, L Van Gool, H Bischof
British Machine Vision Conference, 2011
442011
Learning to simulate
N Ruiz, S Schulter, M Chandraker
arXiv preprint arXiv:1810.02513, 2018
382018
Improving classifiers with unlabeled weakly-related videos
C Leistner, M Godec, S Schulter, A Saffari, M Werlberger, H Bischof
CVPR 2011, 2753-2760, 2011
352011
Interactive 3D segmentation of rock-art by enhanced depth maps and gradient preserving regularization
M Zeppelzauer, G Poier, M Seidl, C Reinbacher, S Schulter, ...
Journal on Computing and Cultural Heritage (JOCCH) 9 (4), 1-30, 2016
282016
Hybrid one-shot 3d hand pose estimation by exploiting uncertainties
G Poier, K Roditakis, S Schulter, D Michel, H Bischof, AA Argyros
arXiv preprint arXiv:1510.08039, 2015
272015
Discriminative Hough Forests for Object Detection.
P Wohlhart, S Schulter, M Köstinger, PM Roth, H Bischof
BMVC, 1-11, 2012
242012
Learning to look around objects for top-view representations of outdoor scenes
S Schulter, M Zhai, N Jacobs, M Chandraker
Proceedings of the European Conference on Computer Vision (ECCV), 787-802, 2018
202018
Unsupervised Object Discovery and Segmentation in Videos
S Schulter, C Leistner, PM Roth, H Bischof
British Machine Vision Conference, 2013
162013
Interactive segmentation of rock-art in high-resolution 3D reconstructions
M Zeppelzauer, G Poier, M Seidl, C Reinbacher, C Breiteneder, H Bischof, ...
2015 Digital Heritage 2, 37-44, 2015
132015
A parametric top-view representation of complex road scenes
Z Wang, B Liu, S Schulter, M Chandraker
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
122019
Memory warps for learning long-term online video representations
TH Vu, W Choi, S Schulter, M Chandraker
arXiv preprint arXiv:1803.10861, 2018
82018
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