Cheng Sun

Computer Vision and Pattern Recognition · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Cheng Sun trusts overall

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

  1. Richard Tucker
  2. Pratul P. Srinivasan
  3. Noah Snavely
  4. Zhou Wang
  5. David B. Lindell
  6. Diederik P. Kingma
  7. Vincent Sitzmann
  8. Tinghui Zhou
  9. Alex Yu
  10. Jonathan T. Barron

Who trusts Cheng Sun overall

  1. Antoine Guédon
  2. Anpei Chen
  3. T. Muller
  4. Christian Reiser
  5. Jiemin Fang
  6. Binbin Huang
  7. Zhiwen Fan
  8. Matthew Tancik
  9. Zehao Yu
  10. J. Lee

Papers from Cheng Sun's perspective

Ordered by how strongly the researchers Cheng Sun 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers