Feng Liang

Computer Vision and Pattern Recognition · with Li · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 399 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Liang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Tsung-Yi Lin
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Shaoqing Ren
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Feng Liang overall

  1. Jingyi Zhang
  2. Abdullah Rashwan
  3. Muhammad Maaz
  4. Mengde Xu
  5. Minghan Qin
  6. Changlin Li
  7. Pengzhen Ren
  8. Ayca Takmaz
  9. Boyu Chen
  10. Zhen Dong

Papers from Feng Liang's perspective

Ordered by how strongly the researchers Feng Liang 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. 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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers