Zheng-Jun Zha

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zheng-Jun Zha trusts overall

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

  1. Kalervo Järvelin
  2. Yushi Jing
  3. Dengyong Zhou
  4. Winston H. Hsu
  5. Ali Farhadi

Papers from Zheng-Jun Zha's perspective

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

Their papers