Jun Zhang

Computer Vision and Pattern Recognition · with Shen · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Zhang trusts overall

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

  1. Sally A. Goldman
  2. Christos Davatzikos
  3. Shun Miao
  4. Xiao Yang
  5. Trevor J. Hastie
  6. Yongyue Zhang
  7. Ruslan Salakhutdinov
  8. Paul A. Viola
  9. Oded Maron
  10. Geoffrey E. Hinton

Who trusts Jun Zhang overall

  1. Chunfeng Lian
  2. Samuel Budd
  3. Mingxia Liu
  4. Arvid Lundervold

Papers from Jun Zhang's perspective

Ordered by how strongly the researchers Jun Zhang 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Fully convolutional networks for semantic segmentation
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers