| Robust stereo visual odometry from monocular techniques M Persson, T Piccini, M Felsberg, R Mester 2015 IEEE Intelligent Vehicles Symposium (IV), 686-691, 2015 | 80 | 2015 |
| Uncertainty-aware cnns for depth completion: Uncertainty from beginning to end A Eldesokey, M Felsberg, K Holmquist, M Persson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 76 | 2020 |
| Lambda twist: An accurate fast robust perspective three point (P3P) solver M Persson, K Nordberg Proceedings of the European conference on computer vision (ECCV), 318-332, 2018 | 55 | 2018 |
| Good edgels to track: Beating the aperture problem with epipolar geometry T Piccini, M Persson, K Nordberg, M Felsberg, R Mester 13th European Conference on Computer Vision (ECCV), 652-664, 2015 | 10 | 2015 |
| Robust Accurate Extrinsic Calibration of Static Non-overlapping Cameras A Robinson, M Persson, M Felsberg International Conference on Computer Analysis of Images and Patterns, 342-353, 2017 | 5 | 2017 |
| Online monocular slam: Rittums M Persson | 4 | 2014 |
| Predicting disparity distributions G Häger, M Persson, M Felsberg 2021 IEEE International Conference on Robotics and Automation (ICRA), 4363-4369, 2021 | 3 | 2021 |
| Practical Pose Trajectory Splines With Explicit Regularization M Persson, G Häger, H Ovrén, PE Forssén 2021 International Conference on 3D Vision (3DV), 156-165, 2021 | 1 | 2021 |
| Visual Odometryin Principle and Practice M Persson Linköping University Electronic Press, 2022 | | 2022 |
| Independently Moving Object Trajectories from Sequential Hierarchical Ransac. M Persson, PE Forssén VISIGRAPP (5: VISAPP), 722-731, 2021 | | 2021 |
| Tackling Disturbed Depth Maps by Learning Input Data Confidence A Eldesokey, M Persson, M Felsberg, FS Khan | | |
Michael FelsbergProfessor of Computer Vision, Linköping UniversityVerified email at liu.se
