Shanshan Zhang

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 5 papers; trusts 851 researchers and is trusted by 555 researchers here, as inferred from the citation graph.

Subfields

Whom Shanshan Zhang trusts overall

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

  1. Piotr Doll'ar
  2. Ross B. Girshick
  3. Kaiming He
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Navneet Dalal
  7. Geoffrey E. Hinton
  8. Pedro F. Felzenszwalb
  9. Karen Simonyan
  10. Yann LeCun

Who trusts Shanshan Zhang overall

  1. Zhaowei Cai
  2. Yongqiang Zhang
  3. Rodrigo Benenson
  4. Xiaodan Liang
  5. Shifeng Zhang
  6. Markus Braun
  7. Wei David Liu
  8. Songtao Liu
  9. Chunluan Zhou
  10. Bernt Schiele

Papers from Shanshan Zhang's perspective

Ordered by how strongly the researchers Shanshan 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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