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Paul Wohlhart
Paul Wohlhart
Everyday Robots
在 google.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
19792012
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
12642011
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
7272018
Learning descriptors for object recognition and 3d pose estimation
P Wohlhart, V Lepetit
Proceedings of the IEEE conference on computer vision and pattern …, 2015
5452015
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
4992019
Hands deep in deep learning for hand pose estimation
M Oberweger, P Wohlhart, V Lepetit
arXiv preprint arXiv:1502.06807, 2015
4732015
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
3482023
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
3452015
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
3092018
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
1422015
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
1122016
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
982023
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
832013
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015
B Kainz, M Urschler, S Schulter, P Wohlhart, V Lepetit
Springer International Publishing, 2015
792015
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
752019
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
692023
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
662013
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
612023
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
612019
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
542014
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