Meng Zheng

Computer Vision and Pattern Recognition · with Chen · 2022

A researcher in the Science corpus: 1 paper; trusts 91 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Meng Zheng trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Jia Deng
  6. Andrew Zisserman
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Tsung-Yi Lin
  10. Yoshua Bengio

Papers from Meng Zheng's perspective

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

Their papers