recent papers added

README.md

@@ -167,6 +167,9 @@ To see a survey of RGBD datasets, check out Michael Firman's [collection](http:/
 :camera: <b>Feedback Networks (2017)</b> [[Paper]](http://feedbacknet.stanford.edu/)
 <p align="center"><img width="50%" src="https://github.com/timzhang642/3D-Machine-Learning/blob/master/imgs/Feedback%20Networks.png" /></p>
 
+:camera: <b>Escape from Cells: Deep Kd-Networks for The Recognition of 3D Point Cloud Models (2017)</b> [[Paper]](http://www.arxiv.org/pdf/1704.01222.pdf)
+<p align="center"><img width="50%" src="https://github.com/timzhang642/3D-Machine-Learning/blob/master/imgs/Escape From Cells.png" /></p>
+
 <a name="multiple_detection" />
 
 ## Multiple Objects Detection
@@ -222,6 +225,14 @@ To see a survey of RGBD datasets, check out Michael Firman's [collection](http:/
 Parsing of Large-scale 3D Point Clouds (2017)</b> [[Paper]](https://arxiv.org/pdf/1707.06783.pdf)
 <p align="center"><img width="40%" src="https://github.com/timzhang642/3D-Machine-Learning/blob/master/imgs/3DCNN-DQN-RNN.png" /></p>
 
+:game_die: <b>Semantic Segmentation of Indoor Point Clouds using Convolutional Neural Networks (2017)</b> [[Paper]](https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W4/101/2017/isprs-annals-IV-4-W4-101-2017.pdf)
+<p align="center"><img width="40%" src="https://github.com/timzhang642/3D-Machine-Learning/blob/master/imgs/Semantic Segmentation of Indoor Point Clouds using Convolutional Neural Networks.png" /></p>
+
+:game_die: <b>SEGCloud: Semantic Segmentation of 3D Point Clouds (2017)</b> [[Paper]](https://arxiv.org/pdf/1710.07563.pdf)
+<p align="center"><img width="40%" src="https://github.com/timzhang642/3D-Machine-Learning/blob/master/imgs/SEGCloud.png" /></p>
+
+:game_die: <b>Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55 (2017)</b> [[Paper]](https://arxiv.org/pdf/1710.06104.pdf)
+<p align="center"><img width="40%" src="https://github.com/timzhang642/3D-Machine-Learning/blob/master/imgs/Core55.png" /></p>
 
 <a name="3d_synthesis" />