Tian-Zhu Xiang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 113 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tian-Zhu Xiang trusts overall

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

  1. Kaiming He
  2. Deng-Ping Fan
  3. Ross B. Girshick
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Andrew P. Witkin
  8. Junhang Wei
  9. Tsung-Yi Lin
  10. Shaoqing Ren

Papers from Tian-Zhu Xiang's perspective

Ordered by how strongly the researchers Tian-Zhu Xiang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers