Fanbo Xiang

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Fanbo Xiang trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Morgan Quigley
  7. Yoshua Bengio
  8. Yann LeCun
  9. Hao Su
  10. Ilya Sutskever

Who trusts Fanbo Xiang overall

  1. Chengshu Li
  2. Bokui (William) Shen
  3. Luca Weihs
  4. Fei Xia
  5. S. Gadre
  6. Hanbyul Joo
  7. Wenlong Huang
  8. Siddharth Srivastava
  9. Kiana Ehsani
  10. Chuang Gan

Papers from Fanbo Xiang's perspective

Ordered by how strongly the researchers Fanbo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers