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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 13 Similar Profiles
Lighting Engineering & Materials Science
Color Engineering & Materials Science
Neural networks Engineering & Materials Science
Classifiers Engineering & Materials Science
Object detection Engineering & Materials Science

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Research Output 2015 2018

  • 4 Conference contribution
  • 3 Article

Domain Transfer for 3D Pose Estimation from Color Images without Manual Annotations

Rad, M., Oberweger, M. & Lepetit, V., 8 Oct 2018, In : arXiv.org e-Print archive. 16 p.

Research output: Contribution to journalArticleResearchpeer-review

Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images

Rad, M., Oberweger, M. & Lepetit, V., 2018, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation

Oberweger, M., Rad, M. & Lepetit, V., 11 Apr 2018, In : arXiv.org e-Print archive. 26 p.

Research output: Contribution to journalArticleResearchpeer-review

ALCN: Adaptive Local Contrast Normalization for Robust Object Detection and 3D Pose Estimation

Rad, M., Roth, P. M. & Lepetit, V., 2017, British Machine Vision Conference.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Lighting
Neural networks
Object detection

BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

Rad, M. & Lepetit, V., 31 Mar 2017, International Conference on Computer Vision. 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Color
Neural networks
Classifiers
Object detection