Mengmeng Wang

Computer Vision and Pattern Recognition · with Gan · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 310 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Mengmeng Wang trusts overall

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

  1. Kaiming He
  2. Andrew Zisserman
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Christoph Feichtenhofer
  8. Yann LeCun
  9. Sergey Ioffe
  10. Christian Szegedy

Who trusts Mengmeng Wang overall

  1. Limin Wang
  2. Kunchang Li

Papers from Mengmeng Wang's perspective

Ordered by how strongly the researchers Mengmeng Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers