Peng-Tao Jiang

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 1,069 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Peng-Tao Jiang trusts overall

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

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

Who trusts Peng-Tao Jiang overall

  1. Shiyin Zhang
  2. Nikita Araslanov
  3. Sanghyun Jo
  4. Beomyoung Kim
  5. Guolei Sun
  6. Junsong Fan
  7. Yunchao Wei
  8. Lian Xu
  9. Yi Li
  10. Weide Liu

Papers from Peng-Tao Jiang's perspective

Ordered by how strongly the researchers Peng-Tao Jiang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers