Feng Gao

Computer Vision and Pattern Recognition · with Zhang · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Gao trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Feiping Nie (in Computer Vision and Pattern Recognition)
  2. Xuelong Li (in Computer Vision and Pattern Recognition)

Papers from Feng Gao's perspective

Ordered by how strongly the researchers Feng Gao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
  2. Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition
  3. Diversity-induced Multi-view Subspace Clustering (Computer Vision and Pattern Recognition)
  4. Low-Rank Tensor Constrained Multiview Subspace Clustering (IEEE International Conference on Computer Vision)
  5. Multi-view Subspace Clustering (IEEE International Conference on Computer Vision)
  6. SUN RGB-D: A RGB-D scene understanding benchmark suite
  7. Structured AutoEncoders for Subspace Clustering (IEEE Transactions on Image Processing)
  8. Large-Scale Multi-View Spectral Clustering via Bipartite Graph (AAAI Conference on Artificial Intelligence)
  9. Multi-View Clustering and Feature Learning via Structured Sparsity
  10. Generalized Latent Multi-View Subspace Clustering (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers