Pengkai Zhu

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 480 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Pengkai Zhu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Tsung-Yi Lin
  7. Shaoqing Ren
  8. Andrew Zisserman
  9. Christian Szegedy
  10. Yoshua Bengio

Who trusts Pengkai Zhu overall

  1. Shafin Rahman
  2. Mingfei Gao
  3. Salman Hameed Khan
  4. Alireza Zareian
  5. Weicheng Kuo
  6. S. Gadre
  7. Liunian Harold Li
  8. Gabriel Ilharco
  9. Yuhang Zang
  10. Nick Barnes

Papers from Pengkai Zhu's perspective

Ordered by how strongly the researchers Pengkai Zhu 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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