Jinkun Cao

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 5 papers; trusts 388 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jinkun Cao trusts overall

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

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

Who trusts Jinkun Cao overall

  1. Gerard Maggiolino
  2. Yunhao Du
  3. Adnan Ahmad
  4. Zhicheng Zhao
  5. Kris M. Kitani
  6. Fangao Zeng

Papers from Jinkun Cao's perspective

Ordered by how strongly the researchers Jinkun Cao 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. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers