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Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.

K. Fang, Y. Bai, S. Hinterstoisser, and M. Kalakrishnan. CoRR, (2017)

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Stefan Kunert University of Stuttgart

Stefan Schippling University of Stuttgart

Stefan Hecht University of Stuttgart

Stefan Keuler University of Stuttgart

Dr. -Ing. Stefan Carosella University of Stuttgart

Other publications of authors with the same name

Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes.S. Hinterstoisser, S. Holzer, C. Cagniart, S. Ilic, K. Konolige, N. Navab, and V. Lepetit. ICCV, page 858-865. IEEE Computer Society, (2011)Technical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes.S. Hinterstoisser, V. Lepetit, S. Ilic, S. Holzer, K. Konolige, G. Bradski, and N. Navab. ECCV Workshops (3), volume 7585 of Lecture Notes in Computer Science, page 593-596. Springer, (2012)Going Further with Point Pair Features.S. Hinterstoisser, V. Lepetit, N. Rajkumar, and K. Konolige. ECCV (3), volume 9907 of Lecture Notes in Computer Science, page 834-848. Springer, (2016)Real-time learning of accurate patch rectification.S. Hinterstoisser, O. Kutter, N. Navab, P. Fua, and V. Lepetit. CVPR, page 2945-2952. IEEE Computer Society, (2009)Gradient Response Maps for Real-Time Detection of Textureless Objects.S. Hinterstoisser, C. Cagniart, S. Ilic, P. Sturm, N. Navab, P. Fua, and V. Lepetit. IEEE Trans. Pattern Anal. Mach. Intell., 34 (5): 876-888 (2012)Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.K. Fang, Y. Bai, S. Hinterstoisser, and M. Kalakrishnan. CoRR, (2017)An Industrial Augmented Reality Solution For Discrepancy Check.P. Georgel, P. Schroeder, S. Benhimane, S. Hinterstoisser, M. Appel, and N. Navab. ISMAR, page 111-115. IEEE Computer Society, (2007)Rapid selection of reliable templates for visual tracking.N. Alt, S. Hinterstoisser, and N. Navab. CVPR, page 1355-1362. IEEE Computer Society, (2010)Distance transform templates for object detection and pose estimation.S. Holzer, S. Hinterstoisser, S. Ilic, and N. Navab. CVPR, page 1177-1184. IEEE Computer Society, (2009)On Pre-Trained Image Features and Synthetic Images for Deep Learning.S. Hinterstoisser, V. Lepetit, P. Wohlhart, and K. Konolige. CoRR, (2017)

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Disambiguation of "Hinterstoisser, Stefan"

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Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.

Please choose a person to relate this publication to

Stefan Kunert University of Stuttgart

Stefan Schippling University of Stuttgart

Stefan Hecht University of Stuttgart

Stefan Keuler University of Stuttgart

Dr. -Ing. Stefan Carosella University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Hinterstoisser, Stefan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.

Please choose a person to relate this publication to

Stefan Kunert University of Stuttgart

Stefan Schippling University of Stuttgart

Stefan Hecht University of Stuttgart

Stefan Keuler University of Stuttgart

Dr. -Ing. Stefan Carosella University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.