| 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 | 2008 | 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 | 1312 | 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 | 775 | 2018 |
| Rt-2: Vision-language-action models transfer web knowledge to robotic control A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ... arXiv preprint arXiv:2307.15818, 2023 | 671 | 2023 |
| Learning descriptors for object recognition and 3d pose estimation P Wohlhart, V Lepetit Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 556 | 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 | 547 | 2019 |
| Hands deep in deep learning for hand pose estimation M Oberweger, P Wohlhart, V Lepetit arXiv preprint arXiv:1502.06807, 2015 | 485 | 2015 |
| Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023 | 363* | 2023 |
| 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 | 349 | 2015 |
| 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 | 327 | 2018 |
| Rt-2: Vision-language-action models transfer web knowledge to robotic control B Zitkovich, T Yu, S Xu, P Xu, T Xiao, F Xia, J Wu, P Wohlhart, S Welker, ... Conference on Robot Learning, 2165-2183, 2023 | 173 | 2023 |
| You should use regression to detect cells P Kainz, M Urschler, S Schulter, P Wohlhart, V Lepetit Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 150 | 2015 |
| Open-world object manipulation using pre-trained vision-language models A Stone, T Xiao, Y Lu, K Gopalakrishnan, KH Lee, Q Vuong, P Wohlhart, ... arXiv preprint arXiv:2303.00905, 2023 | 130 | 2023 |
| 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 | 116 | 2016 |
| 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 | 85 | 2019 |
| 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 | 83 | 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 | 66 | 2013 |
| 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 | 64 | 2019 |
| 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 | 56 | 2014 |
| Automated data capture K Konolige, N Rajkumar, S Hinterstoisser, P Wohlhart US Patent 10,417,781, 2019 | 32 | 2019 |
Peter M. RothUniversity of Veterinary Medicine, Vienna在 ieee.org 的电子邮件经过验证
