20142018
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Fingerprint Dive into the research topics where Patrick Knöbelreiter is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 7 Similar Profiles
Neural networks Engineering & Materials Science
Optical flows Engineering & Materials Science
Supervised learning Engineering & Materials Science
Cameras Engineering & Materials Science
Feature extraction Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Semantics Engineering & Materials Science
Robots Engineering & Materials Science

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Research Output 2014 2018

  • 4 Paper
  • 3 Conference contribution
  • 1 Article

Learning Energy Based Inpainting for Optical Flow

Vogel, C., Knöbelreiter, P. & Pock, T., 4 Dec 2018.

Research output: Contribution to conferencePaperResearchpeer-review

Optical flows
Feature extraction
Neural networks
Data storage equipment

Robot localisation and 3D position estimation using a free-moving camera and cascaded convolutional neural networks

Mišeikis, J., Knöbelreiter, P., Brijacak, I., Yahyanejad, S., Glette, K., Elle, O. J. & Torresen, J., 30 Aug 2018, AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Institute of Electrical and Electronics Engineers, Vol. 2018-July. p. 181-187 7 p. 8452236

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

Cameras
Robots
Neural networks
Sensors
Visual servoing

Self-Supervised Learning for Stereo Reconstruction on Aerial Images

Knöbelreiter, P., Vogel, C. & Pock, T., 22 Jul 2018.

Research output: Contribution to conferencePaperResearchpeer-review

Supervised learning
Antennas
Imaging techniques

End-to-End Training of Hybrid CNN-CRF Models for Semantic Segmentation using Structured Learning

Colovic, A., Knöbelreiter, P., Shekhovtsov, A. & Pock, T., 6 Feb 2017.

Research output: Contribution to conferencePaperResearchpeer-review

Semantics
Neural networks
Image segmentation
Linear programming
Labeling

Scalable Full Flow with Learned Binary Descriptors

Munda, G., Shekhovtsov, A., Knöbelreiter, P. & Pock, T., 13 Sep 2017.

Research output: Contribution to conferencePaperResearchpeer-review

Costs
Optical flows
Image resolution
Neural networks
Data storage equipment