diff --git a/ma.bib b/ma.bib
index b5e631b..038cafb 100644
--- a/ma.bib
+++ b/ma.bib
@@ -450,7 +450,7 @@ to construct explicit models for non-normal classes. Application includes infere
 
 @InProceedings{Fan2017,
   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})},
   year      = {2017},
   publisher = {{IEEE}},
@@ -479,7 +479,7 @@ to construct explicit models for non-normal classes. Application includes infere
 
 @InProceedings{Charles2017,
   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})},
   year      = {2017},
   publisher = {{IEEE}},
@@ -493,7 +493,7 @@ to construct explicit models for non-normal classes. Application includes infere
 
 @InProceedings{Qi2018,
   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},
   year      = {2018},
   publisher = {{IEEE}},
@@ -507,7 +507,7 @@ to construct explicit models for non-normal classes. Application includes infere
 
 @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},
-  title     = {{SSD}: Single Shot {MultiBox} Detector},
+  title     = {S{SD}: Single Shot {MultiBox} Detector},
   booktitle = {Computer Vision {\textendash} {ECCV} 2016},
   year      = {2016},
   publisher = {Springer International Publishing},
@@ -568,7 +568,7 @@ to construct explicit models for non-normal classes. Application includes infere
 
 @InProceedings{McCormac2017,
   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})},
   year          = {2017},
   publisher     = {{IEEE}},
@@ -596,7 +596,7 @@ to construct explicit models for non-normal classes. Application includes infere
 
 @Article{Xiang2017,
   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},
   date        = {2017-11-01},
   eprint      = {1711.00199v3},