Guan Pang

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 251 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guan Pang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Andrew Zisserman
  8. Jimmy Ba
  9. Yann LeCun
  10. Ross B. Girshick

Who trusts Guan Pang overall

  1. Sang-Min Park
  2. Chenyu Gao
  3. Jianfeng Wang
  4. Pengyuan Lyu
  5. Young-Gab Kim

Papers from Guan Pang's perspective

Ordered by how strongly the researchers Guan Pang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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