Meng Han

Computer Vision and Pattern Recognition · with Kang · 2019

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

Subfields

Whom Meng Han trusts

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

  1. René Vidal (in Computer Vision and Pattern Recognition)

Papers from Meng Han's perspective

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

  1. On Spectral Clustering: Analysis and an algorithm
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Robust Recovery of Subspace Structures by Low-Rank Representation (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  6. Sparse Subspace Clustering: Algorithm, Theory, and Applications
  7. Large Graph Construction for Scalable Semi-Supervised Learning (International Conference on Machine Learning)
  8. Large Scale Spectral Clustering with Landmark-Based Representation
  9. Diversity-induced Multi-view Subspace Clustering (Computer Vision and Pattern Recognition)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers