Xing Mei

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Xing Mei trusts overall

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

  1. Heiko Hirschmüller
  2. Daniel Scharstein
  3. Richard Szeliski
  4. Kaiming He
  5. Carlo Tomasi
  6. Kuk-jin Yoon
  7. Andreas Klaus
  8. Ke Zhang
  9. Qingxiong Yang
  10. Christoph Rhemann

Who trusts Xing Mei overall

  1. Jure Zbontar
  2. Yann LeCun
  3. Yasutaka Furukawa
  4. Linchao Bao
  5. L. Keselman
  6. Carlos Hernández
  7. Qingxiong Yang

Papers from Xing Mei's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers