| End-to-end training of hybrid CNN-CRF models for stereo P Knöbelreiter, C Reinbacher, A Shekhovtsov, T Pock Conference on Computer Vision and Pattern Recognition,(CVPR), 2017 | 143 | 2017 |
| Learning joint demosaicing and denoising based on sequential energy minimization T Klatzer, K Hammernik, P Knobelreiter, T Pock 2016 IEEE International Conference on Computational Photography (ICCP), 1-11, 2016 | 83 | 2016 |
| Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems P Knobelreiter, C Sormann, A Shekhovtsov, F Fraundorfer, T Pock Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 19 | 2020 |
| BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo C Sormann, P Knöbelreiter, A Kuhn, M Rossi, T Pock, F Fraundorfer 2020 International Conference on 3D Vision (3DV), 394-403, 2020 | 18 | 2020 |
| Robot localisation and 3d position estimation using a free-moving camera and cascaded convolutional neural networks J Miseikis, P Knobelreiter, I Brijacak, S Yahyanejad, K Glette, OJ Elle, ... 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2018 | 17 | 2018 |
| InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization R Harb, P Knöbelreiter DAGM German Conference on Pattern Recognition, 18-32, 2021 | 12 | 2021 |
| Self-Supervised Learning for Stereo Reconstruction on Aerial Images P Knöbelreiter, C Vogel, T Pock IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 11 | 2018 |
| Learned collaborative stereo refinement P Knöbelreiter, T Pock International Journal of Computer Vision 129 (9), 2565-2582, 2021 | 10 | 2021 |
| Frame-To-Frame Consistent Semantic Segmentation M Rebol, P Knöbelreiter arXiv preprint arXiv:2008.00948, 2020 | 8 | 2020 |
| Automatic fly-through camera animations for 3D architectural repositories P Knöbelreiter, R Berndt, T Ullrich, DW Fellner 2014 International Conference on Computer Graphics Theory and Applications …, 2014 | 8 | 2014 |
| End-to-End Training of Hybrid CNN-CRF Models for Semantic Segmentation using Structured Learning A Colovic, P Knöbelreiter, A Shekhovtsov, T Pock Computer Vision Winter Workshop, 2017 | 7 | 2017 |
| An ultrastructural 3D reconstruction method for observing the arrangement of collagen fibrils and proteoglycans in the human aortic wall under mechanical load A Pukaluk, AS Wittgenstein, G Leitinger, D Kolb, D Pernitsch, ... Acta Biomaterialia 141, 300-314, 2022 | 5 | 2022 |
| Learning Energy Based Inpainting for Optical Flow C Vogel, P Knöbelreiter, T Pock Asian Conference on Computer Vision, 340-356, 2018 | 5 | 2018 |
| Scalable Full Flow with Learned Binary Descriptors G Munda, A Shekhovtsov, P Knöbelreiter, T Pock German Conference on Pattern Recognition, 321-332, 2017 | 3 | 2017 |
| Efficient Multi-Task Learning of Semantic Segmentation and Disparity Estimation R Harb, P Knöbelreiter ARW & OAGM Workshop 2019: Austrian Robotics Workshop and OAGM Workshop 2019, 2019 | 1 | 2019 |
Thomas PockProfessor of Computer Science, TU GrazVerified email at icg.tugraz.at
