Liqing Zhang

Computer Vision and Pattern Recognition · 2007 IEEE Conference on Computer Vision and Pattern Recognition · 2007–2016

A researcher in the Science corpus: 6 papers; trusts 224 researchers and is trusted by 177 researchers here, as inferred from the citation graph.

Subfields

Whom Liqing Zhang trusts overall

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

  1. Laurent Itti
  2. Radford M. Neal
  3. Christof Koch
  4. David John Cameron MacKay
  5. Ruslan Salakhutdinov
  6. Barbara Olshausen
  7. Geoffrey E. Hinton
  8. Ivan V. Oseledets
  9. Ross B. Girshick
  10. Alex Krizhevsky

Who trusts Liqing Zhang overall

  1. Wenguan Wang
  2. Ali Borji
  3. Junwei Han
  4. Jianbing Shen
  5. Ming-Ming Cheng
  6. Dominik A. Klein
  7. Hae Jong Seo
  8. Chenlei Guo
  9. Radhakrishna Achanta
  10. Bogdan Alexe

Papers from Liqing Zhang's perspective

Ordered by how strongly the researchers Liqing 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers