Jun Cheng

Computer Vision and Pattern Recognition · with Yang · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Cheng trusts overall

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

  1. Andrew Zisserman
  2. Josef Sivic
  3. Svetlana Lazebnik
  4. Florent Perronnin
  5. David G. Lowe
  6. Karen Simonyan
  7. Andrea Vedaldi
  8. Li Fei-Fei
  9. Cordelia Schmid
  10. Geoffrey E. Hinton

Who trusts Jun Cheng overall

  1. Parnian Afshar
  2. Octavio Loyola-González
  3. Wanying Wu
  4. S. Deepak
  5. Arash Mohammadi
  6. K. Plataniotis
  7. Hossam H. Sultan
  8. Khan Muhammad
  9. Jaeyong Kang
  10. Tharindu Fernando

Papers from Jun Cheng's perspective

Ordered by how strongly the researchers Jun Cheng 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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