diff --git a/README.md b/README.md
index 3c1ab37..00da7de 100644
--- a/README.md
+++ b/README.md
@@ -24,17 +24,67 @@ To make it a collaborative project, you may add content throught pull requests o
To see a survey of RGBD datasets, I recommend to check out Michael Firman's [collection](http://www0.cs.ucl.ac.uk/staff/M.Firman//RGBDdatasets/) as well as the associated paper, [RGBD Datasets: Past, Present and Future](https://arxiv.org/pdf/1604.00999.pdf). Point Cloud Library also has a good dataset [catalogue](http://pointclouds.org/media/).
## Single Object Classification
-to be added
+:space_invader: 3D ShapeNets: A Deep Representation for Volumetric Shapes (2015) [[Paper]](http://3dshapenets.cs.princeton.edu/)
+
+
+:space_invader: VoxNet: A 3D Convolutional Neural Network for Real-Time Object Recognition (2015) [[Paper]](http://www.dimatura.net/publications/voxnet_maturana_scherer_iros15.pdf) [[Code]](https://github.com/dimatura/voxnet)
+
+
+:camera: Multi-view Convolutional Neural Networks for 3D Shape Recognition (2015) [[Paper]](http://vis-www.cs.umass.edu/mvcnn/)
+
+
+:camera: DeepPano: Deep Panoramic Representation for 3-D Shape Recognition (2015) [[Paper]](http://mclab.eic.hust.edu.cn/UpLoadFiles/Papers/DeepPano_SPL2015.pdf)
+
+
+:space_invader::camera: FusionNet: 3D Object Classification Using Multiple Data Representations (2016) [[Paper]](https://stanford.edu/~rezab/papers/fusionnet.pdf)
+
+
+:space_invader::camera: Volumetric and Multi-View CNNs for Object Classification on 3D Data (2016) [[Paper]](https://arxiv.org/pdf/1604.03265.pdf) [[Code]](https://github.com/charlesq34/3dcnn.torch)
+
+
+:space_invader: Generative and Discriminative Voxel Modeling with Convolutional Neural Networks (2016) [[Paper]](https://arxiv.org/pdf/1608.04236.pdf) [[Code]](https://github.com/ajbrock/Generative-and-Discriminative-Voxel-Modeling)
+
+
+:space_invader: 3D GAN: Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (2016) [[Paper]](https://arxiv.org/pdf/1610.07584.pdf)
+
+
+:space_invader: FPNN: Field Probing Neural Networks for 3D Data (2016) [[Paper]](http://yangyanli.github.io/FPNN/)
+
+
+:space_invader: OctNet: Learning Deep 3D Representations at High Resolutions (2017) [[Paper]](https://github.com/griegler/octnet)
+
+
+:space_invader: O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis (2017) [[Paper]](http://wang-ps.github.io/O-CNN)
+
+
+:game_die: PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (2017) [[Paper]](http://stanford.edu/~rqi/pointnet/)
+
+
+:game_die: PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (2017) [[Paper]](https://arxiv.org/pdf/1706.02413.pdf)
+
+
+:camera: Feedback Networks (2017) [[Paper]](http://feedbacknet.stanford.edu/)
+
## Multiple Objects Detection
-to be added
+Sliding Shapes for 3D Object Detection in Depth Images (2014) [[Paper]](http://slidingshapes.cs.princeton.edu/)
+
+
+Object Detection in 3D Scenes Using CNNs in Multi-view Images (2016) [[Paper]](https://stanford.edu/class/ee367/Winter2016/Qi_Report.pdf)
+
+
+Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images (2016) [[Paper]](http://dss.cs.princeton.edu/)
+
+
+DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding (2016) [[Paper]](http://deepcontext.cs.princeton.edu/)
+
## Part Segmentation
Learning 3D Mesh Segmentation and Labeling (2010) [[Paper]](https://people.cs.umass.edu/~kalo/papers/LabelMeshes/LabelMeshes.pdf)
Unsupervised Co-Segmentation of a Set of Shapes via Descriptor-Space Spectral Clustering (2011) [[Paper]](https://www.cs.sfu.ca/~haoz/pubs/sidi_siga11_coseg.pdf)
-
+
3D Shape Segmentation with Projective Convolutional Networks (2017) [[Paper]](http://people.cs.umass.edu/~kalo/papers/shapepfcn/)
@@ -42,6 +92,12 @@ to be added
Learning Hierarchical Shape Segmentation and Labeling from Online Repositories (2017) [[Paper]](http://cs.stanford.edu/~ericyi/project_page/hier_seg/index.html)
+:game_die: PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (2017) [[Paper]](http://stanford.edu/~rqi/pointnet/)
+
+
+:game_die: PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (2017) [[Paper]](https://arxiv.org/pdf/1706.02413.pdf)
+
+
## 3D Synthesis/Reconstruction
_Parametric Morphable Model-based methods_