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  • Patrick Knöbelreiter
2016

End-to-End Training of Hybrid CNN-CRF Models for Stereo

Knöbelreiter, P., Reinbacher, C., Shekhovtsov, A. & Pock, T., 30 Nov 2016, In : arXiv.org e-Print archive.

Research output: Contribution to journalArticleResearchpeer-review

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Learning Joint Demosaicing and Denoising Based on Sequential Energy Minimization

Klatzer, T., Hammernik, K., Knöbelreiter, P. & Pock, T., 13 May 2016, IEEE International Conference on Computational Photography (ICCP).

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

Open Access
File
2018

Learning Energy Based Inpainting for Optical Flow

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

Research output: Contribution to conferencePaperResearchpeer-review

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

Self-Supervised Learning for Stereo Reconstruction on Aerial Images

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

Research output: Contribution to conferencePaperResearchpeer-review

2019

Efficient Multi-Task Learning of Semantic Segmentation and Disparity Estimation

Harb, R. & Knöbelreiter, P., 9 May 2019, p. 147. 152 p.

Research output: Contribution to conferencePaperResearchpeer-review

Open Access

Learned Collaborative Stereo Refinement

Knöbelreiter, P. & Pock, T., 2019, German Conference on Pattern Recognition. p. 3-17

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