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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
2017

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

Scalable Full Flow with Learned Binary Descriptors

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

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