| 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 | 1809 | 2012 |
| 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 | 1006 | 2011 |
| 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 | 520 | 2018 |
| Learning descriptors for object recognition and 3d pose estimation P Wohlhart, V Lepetit Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 454 | 2015 |
| Hands deep in deep learning for hand pose estimation M Oberweger, P Wohlhart, V Lepetit arXiv preprint arXiv:1502.06807, 2015 | 403 | 2015 |
| 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 | 313 | 2015 |
| 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/CVF Conference on Computer Vision and Pattern …, 2019 | 295 | 2019 |
| 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) Workshops, 0-0, 2018 | 179 | 2018 |
| 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 | 108 | 2015 |
| 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 | 100 | 2016 |
| 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 | 78 | 2013 |
| 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 | 60 | 2013 |
| 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 | 47 | 2014 |
| Generalized feedback loop for joint hand-object pose estimation M Oberweger, P Wohlhart, V Lepetit IEEE transactions on pattern analysis and machine intelligence 42 (8), 1898-1912, 2019 | 45 | 2019 |
| Watch, try, learn: Meta-learning from demonstrations and reward A Zhou, E Jang, D Kappler, A Herzog, M Khansari, P Wohlhart, Y Bai, ... arXiv preprint arXiv:1906.03352, 2019 | 27 | 2019 |
| Multiple instance boosting for face recognition in videos P Wohlhart, M Köstinger, PM Roth, H Bischof Joint Pattern Recognition Symposium, 132-141, 2011 | 25 | 2011 |
| 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 | 25 | 2011 |
| 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 | 25 | 2008 |
| 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 | 24 | 2012 |
| Discriminative Hough Forests for Object Detection P Wohlhart, S Schulter, M Köstinger, PM Roth, H Bischof British Machine Vision Conference, 2012 | 24 | 2012 |
Peter M. RothTechnical University of Munich (TUM)Verified email at ieee.org
