Paul Wohlhart
Paul Wohlhart
X, the moonshot factory
Verified email at google.com
TitleCited byYear
Large scale metric learning from equivalence constraints
M Koestinger, M Hirzer, P Wohlhart, PM Roth, H Bischof
2012 IEEE conference on computer vision and pattern recognition, 2288-2295, 2012
12762012
Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization
M Koestinger, P Wohlhart, PM Roth, H Bischof
2011 IEEE international conference on computer vision workshops (ICCV …, 2011
5402011
Learning descriptors for object recognition and 3d pose estimation
P Wohlhart, V Lepetit
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
2512015
Hands deep in deep learning for hand pose estimation
M Oberweger, P Wohlhart, V Lepetit
arXiv preprint arXiv:1502.06807, 2015
2092015
Training a feedback loop for hand pose estimation
M Oberweger, P Wohlhart, V Lepetit
Proceedings of the IEEE International Conference on Computer Vision, 3316-3324, 2015
1842015
Using simulation and domain adaptation to improve efficiency of deep robotic grasping
K Bousmalis, A Irpan, P Wohlhart, Y Bai, M Kelcey, M Kalakrishnan, ...
2018 IEEE International Conference on Robotics and Automation (ICRA), 4243-4250, 2018
1702018
Alternating decision forests
S Schulter, P Wohlhart, C Leistner, A Saffari, PM Roth, H Bischof
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
572013
Efficiently creating 3D training data for fine hand pose estimation
M Oberweger, G Riegler, P Wohlhart, V Lepetit
Proceedings of the IEEE conference on computer vision and pattern …, 2016
502016
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
472015
On pre-trained image features and synthetic images for deep learning
S Hinterstoisser, V Lepetit, P Wohlhart, K Konolige
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
452018
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
432013
Accurate object detection with joint classification-regression random forests
S Schulter, C Leistner, P Wohlhart, PM Roth, H Bischof
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
412014
Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks
S James, P Wohlhart, M Kalakrishnan, D Kalashnikov, A Irpan, J Ibarz, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
252019
Detecting partially occluded objects with an implicit shape model random field
P Wohlhart, M Donoser, PM Roth, H Bischof
Asian Conference on Computer Vision, 302-315, 2012
202012
Discriminative Hough Forests for Object Detection
P Wohlhart, S Schulter, M Köstinger, PM Roth, H Bischof
British Machine Vision Conference, 2012
202012
Multiple instance boosting for face recognition in videos
P Wohlhart, M Köstinger, PM Roth, H Bischof
Joint Pattern Recognition Symposium, 132-141, 2011
202011
Learning to recognize faces from videos and weakly related information cues
M Köstinger, P Wohlhart, PM Roth, H Bischof
2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011
192011
3D tracking in unknown environments using on-line keypoint learning for mobile augmented reality
G Schall, H Grabner, M Grabner, P Wohlhart, D Schmalstieg, H Bischof
2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008
172008
Optimizing 1-nearest prototype classifiers
P Wohlhart, M Kostinger, M Donoser, PM Roth, H Bischof
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
152013
Robust face detection by simple means
M Köstinger, P Wohlhart, PM Roth, H Bischof
DAGM 2012 CVAW workshop, 2012
142012
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