Some papers and its corresponding source code:

1. DeepMVS: Learning Multi-View Stereopsis. (paper, code&data)
2. Multi-view Face Detection Using Deep Convolutional Neural Networks. (paper, code1, code2, code3)
3. Multi-view Convolutional Neural Networks for 3D Shape Recognition. (paper, code)
4. Partial Multi-View Clustering Using Graph Regularized NMF. (paper, code)
5. Multiple View Geometry in Computer Vision. (paper, code)
6. Multi-view low-rank sparse subspace clustering. (paper, code)
7. Vehicle Pose and Shape Estimation through Multiple Monocular Vision. (paper, code)
8. Binary Multi-View Clustering. (paper, code)
9. A unifying framework for vector-valued manifold regularization and multi-view learning. (paper, code)
10. Matching People across Camera Views using Kernel Canonical Correlation Analysis. (paper, code)
11. Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification. (paper, code)
12. Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with L2,1 Regularization. (paper, code)
13. Multi-view clustering. (paper, code(matlab, R))
14. Online Multi-view Clustering with Incomplete Views. (paper, code)
15. Online Unsupervised Multi-view Feature Selection. (paper, code)
16. Heterogeneous image feature integration via multi-modal spectral clustering. (paper, code)
17. Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition. (paper, code)
18. Projective Feature Learning for 3D Shapes with Multi-View Depth Images. (paper, code)
19. Multi-View Clustering and Feature Learning via Structured Sparsity. (paper, code)
20. Large-Scale Multi-View Spectral Clustering via Bipartite Graph. (paper, code)
21. Feature extraction via multi-view non-negative matrix factorization with local graph regularization. (paper, code)
22. Partial Multi-view Outlier Detection Based on Collective Learning. (paper, code)
23. Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. (paper, code)
24. Local kernel alignment based multi-view clustering using extreme learning machine. (paper, code)
25. Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning. (paper, code)
26. Multi-View Dynamic Facial Action Unit Detection. (paper, code)
27. Constrained Multi-View Video Face Clustering. (paper, code)
28. Consistent and Specific Multi-view Subspace Clustering. (paper, code)
29. Multi-View Clustering via Deep Matrix Factorization. (paper, code)
30. COMIC: Multi-view Clustering Without Parameter Selection. (paper, code)
31. Neural News Recommendation with Attentive Multi-View Learning. (paper, code)
32. MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation. (paper, code)
33. COMIC: Multi-view Clustering Without Parameter Selection. (paper, code)
34. Multi-view Deep Subspace Clustering Network. (paper, code)

data set:

1. ALOI

2. 20 NewsGroup

3. Mfeat

4. 3Sources

5. synthetic text (BBC, BBCSport)

6. Reuters

7. Animals with Attributes

8. WebKB (Cornell, Texas, Washington, Wisconsin)

9. Movies

10. Cora

11. CiteSeer

12. NUS-WIDE

13. Multi-view Twitter