Fixed missing consistency in titles of references

Signed-off-by: Jim Martens <github@2martens.de>
This commit is contained in:
2019-03-05 13:55:31 +01:00
parent a7170a8d11
commit 525a72a11c

12
ma.bib
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@ -450,7 +450,7 @@ to construct explicit models for non-normal classes. Application includes infere
@InProceedings{Fan2017, @InProceedings{Fan2017,
author = {Haoqiang Fan and Hao Su and Leonidas Guibas}, author = {Haoqiang Fan and Hao Su and Leonidas Guibas},
title = {A Point Set Generation Network for 3D Object Reconstruction from a Single Image}, title = {A Point Set Generation Network for {3D} Object Reconstruction from a Single Image},
booktitle = {2017 {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})}, booktitle = {2017 {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
year = {2017}, year = {2017},
publisher = {{IEEE}}, publisher = {{IEEE}},
@ -479,7 +479,7 @@ to construct explicit models for non-normal classes. Application includes infere
@InProceedings{Charles2017, @InProceedings{Charles2017,
author = {R. Qi Charles and Hao Su and Mo Kaichun and Leonidas J. Guibas}, author = {R. Qi Charles and Hao Su and Mo Kaichun and Leonidas J. Guibas},
title = {{PointNet}: Deep Learning on Point Sets for 3D Classification and Segmentation}, title = {{PointNet}: Deep Learning on Point Sets for {3D} Classification and Segmentation},
booktitle = {2017 {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})}, booktitle = {2017 {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})},
year = {2017}, year = {2017},
publisher = {{IEEE}}, publisher = {{IEEE}},
@ -493,7 +493,7 @@ to construct explicit models for non-normal classes. Application includes infere
@InProceedings{Qi2018, @InProceedings{Qi2018,
author = {Charles R. Qi and Wei Liu and Chenxia Wu and Hao Su and Leonidas J. Guibas}, author = {Charles R. Qi and Wei Liu and Chenxia Wu and Hao Su and Leonidas J. Guibas},
title = {Frustum {PointNets} for 3D Object Detection from {RGB}-D Data}, title = {Frustum {PointNets} for {3D} Object Detection from {RGB-D} Data},
booktitle = {2018 {IEEE}/{CVF} Conference on Computer Vision and Pattern Recognition}, booktitle = {2018 {IEEE}/{CVF} Conference on Computer Vision and Pattern Recognition},
year = {2018}, year = {2018},
publisher = {{IEEE}}, publisher = {{IEEE}},
@ -507,7 +507,7 @@ to construct explicit models for non-normal classes. Application includes infere
@InCollection{Liu2016, @InCollection{Liu2016,
author = {Wei Liu and Dragomir Anguelov and Dumitru Erhan and Christian Szegedy and Scott Reed and Cheng-Yang Fu and Alexander C. Berg}, author = {Wei Liu and Dragomir Anguelov and Dumitru Erhan and Christian Szegedy and Scott Reed and Cheng-Yang Fu and Alexander C. Berg},
title = {{SSD}: Single Shot {MultiBox} Detector}, title = {S{SD}: Single Shot {MultiBox} Detector},
booktitle = {Computer Vision {\textendash} {ECCV} 2016}, booktitle = {Computer Vision {\textendash} {ECCV} 2016},
year = {2016}, year = {2016},
publisher = {Springer International Publishing}, publisher = {Springer International Publishing},
@ -568,7 +568,7 @@ to construct explicit models for non-normal classes. Application includes infere
@InProceedings{McCormac2017, @InProceedings{McCormac2017,
author = {McCormac, John and Handa, Ankur and Leutenegger, Stefan and Davison, Andrew J.}, author = {McCormac, John and Handa, Ankur and Leutenegger, Stefan and Davison, Andrew J.},
title = {{SceneNet} {RGB}-D: Can 5M Synthetic Images Beat Generic {ImageNet} Pre-training on Indoor Segmentation?}, title = {{SceneNet} {RGB-D}: Can {5M} Synthetic Images Beat Generic {ImageNet} Pre-training on Indoor Segmentation?},
booktitle = {2017 {IEEE} International Conference on Computer Vision ({ICCV})}, booktitle = {2017 {IEEE} International Conference on Computer Vision ({ICCV})},
year = {2017}, year = {2017},
publisher = {{IEEE}}, publisher = {{IEEE}},
@ -596,7 +596,7 @@ to construct explicit models for non-normal classes. Application includes infere
@Article{Xiang2017, @Article{Xiang2017,
author = {Yu Xiang and Tanner Schmidt and Venkatraman Narayanan and Dieter Fox}, author = {Yu Xiang and Tanner Schmidt and Venkatraman Narayanan and Dieter Fox},
title = {PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes}, title = {Pose{CNN}: A Convolutional Neural Network for {6D} Object Pose Estimation in Cluttered Scenes},
journal = {arXiv preprint}, journal = {arXiv preprint},
date = {2017-11-01}, date = {2017-11-01},
eprint = {1711.00199v3}, eprint = {1711.00199v3},