% generated by bibtexbrowser % % Encoding: UTF-8 @inproceedings{muhle2022pnec, author = {D Muhle and L Koestler and N Demmel and F Bernard and D Cremers}, title = {The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions}, eprint = {2204.02256}, eprinttype = {arXiv}, eprintclass = {cs.CV}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, keywords = {pnec, vo, vslam}, } @inproceedings{muhle2023learning, title = {Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares}, author = {D Muhle and L Koestler and KM Jatavallabhula and D Cremers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, eprint = {2305.09527}, eprinttype = {arXiv}, eprintclass = {cs.CV}, pages = {13102--13112}, year = {2023}, keywords = {pnec, vo, vslam, deep learning}, } @inproceedings{hayler2023s4c, title = {S4C: Self-Supervised Semantic Scene Completion with Neural Fields}, author = {A Hayler and F Wimbauer and D Muhle and C Rupprecht and D Cremers}, booktitle = {2024 International Conference on 3D Vision (3DV)}, year = {2024}, eprint = {2310.07522}, eprinttype = {arXiv}, eprintclass = {cs.CV}, } @inproceedings{han2024kdbts, title = {Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation}, author = {K Han and D Muhle and F Wimbauer and D Cremers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, year = {2024}, eprint = {2404.07933}, eprinttype = {arXiv}, eprintclass = {cs.CV}, }