Mang Wang

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 398 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mang Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Oriol Vinyals

Who trusts Mang Wang overall

  1. Liyuan Wang
  2. Junsu Kim
  3. Xingxing Zhang
  4. Hoseong Cho
  5. Da-Wei Zhou
  6. Hang Su

Papers from Mang Wang's perspective

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