Tian Xia

Computer Vision and Pattern Recognition · with Zhang · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Tian Xia trusts overall

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

  1. David L. Donoho
  2. James C. Bezdek
  3. Ameet Talwalkar
  4. Xuelong Li
  5. Richard J. Hathaway
  6. Carrie Grimes
  7. Ulrike von Luxburg
  8. Sanjiv Kumar
  9. Stephen Lin

Who trusts Tian Xia overall

  1. Jun Yu
  2. Dacheng Tao
  3. Jakub Konecný
  4. Lefei Zhang
  5. Jun Wan
  6. Chang Xu
  7. Feiping Nie
  8. Chao-qun Hong
  9. Di Wu
  10. Xiao Huang

Papers from Tian Xia's perspective

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

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

Their papers