Samuel Schulter
Samuel Schulter
Verified email at nec-labs.com - Homepage
Title
Cited by
Cited by
Year
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
6982018
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
6062015
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
1532017
Domain adaptation for structured output via discriminative patch representations
YH Tsai, K Sohn, S Schulter, M Chandraker
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1442019
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
932015
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
782013
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
672015
Learning to simulate
N Ruiz, S Schulter, M Chandraker
arXiv preprint arXiv:1810.02513, 2018
642018
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
592013
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
Improving classifiers with unlabeled weakly-related videos
C Leistner, M Godec, S Schulter, A Saffari, M Werlberger, H Bischof
CVPR 2011, 2753-2760, 2011
402011
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
352018
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
342016
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
332015
Discriminative Hough Forests for Object Detection.
P Wohlhart, S Schulter, M Köstinger, PM Roth, H Bischof
BMVC, 1-11, 2012
252012
Domain adaptive semantic segmentation using weak labels
S Paul, YH Tsai, S Schulter, AK Roy-Chowdhury, M Chandraker
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
242020
A parametric top-view representation of complex road scenes
Z Wang, B Liu, S Schulter, M Chandraker
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
222019
Shuffle and attend: Video domain adaptation
J Choi, G Sharma, S Schulter, JB Huang
European Conference on Computer Vision, 678-695, 2020
172020
Unsupervised Object Discovery and Segmentation in Videos
S Schulter, C Leistner, PM Roth, H Bischof
British Machine Vision Conference, 2013
172013
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