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teaching:ss2022:seminar_3dcv:material:bib [2022/02/04 17:13] Mohammed Brahimi |
teaching:ss2022:seminar_3dcv:material:bib [2022/02/04 19:46] (current) schubdav |
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| url={https:// | url={https:// | ||
| - | @INPROCEEDINGS{8953655, | + | @InProceedings{Mescheder_2019_CVPR, |
| - | author={Mescheder, | + | author = {Mescheder, Lars and Oechsle, Michael and Niemeyer, Michael and Nowozin, Sebastian and Geiger, Andreas}, |
| - | booktitle={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, | + | title = {Occupancy Networks: Learning 3D Reconstruction in Function Space}, |
| - | title={Occupancy Networks: Learning | + | booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, |
| - | year={2019}, | + | month = {June}, |
| - | | + | year = {2019}, |
| - | | + | url = {https:// |
| - | pages={4455-4465}, | + | } |
| - | doi={10.1109/CVPR.2019.00459}, | + | |
| - | url={https:// | + | @InProceedings{Bloesch_2018_CVPR, |
| + | author = {Bloesch, Michael and Czarnowski, Jan and Clark, Ronald and Leutenegger, | ||
| + | title = {CodeSLAM — Learning | ||
| + | booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, | ||
| + | month = {June}, | ||
| + | year = {2018}, | ||
| + | url = {https:// | ||
| + | } | ||
| + | |||
| + | @InProceedings{Schops_2019_CVPR, | ||
| + | author | ||
| + | title = {BAD SLAM: Bundle Adjusted Direct RGB-D SLAM}, | ||
| + | booktitle | ||
| + | month = {June}, | ||
| + | year = {2019}, | ||
| + | url = {https:// | ||
| + | } | ||
| + | |||
| + | @InProceedings{Qi_2017_CVPR, | ||
| + | author = {Qi, Charles R. and Su, Hao and Mo, Kaichun and Guibas, Leonidas J.}, | ||
| + | title = {PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation}, | ||
| + | booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, | ||
| + | month = {July}, | ||
| + | year = {2017}, | ||
| + | url = {https:// | ||
| + | } | ||
| + | |||
| + | @InProceedings{Lindenberger_2021_ICCV, | ||
| + | | ||
| + | title = {Pixel-Perfect Structure-From-Motion With Featuremetric Refinement}, | ||
| + | booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, | ||
| + | month = {October}, | ||
| + | year = {2021}, | ||
| + | pages = {5987-5997}, | ||
| + | | ||
| + | } | ||
