Mengyang Feng

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 599 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Mengyang Feng trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Ross B. Girshick
  4. Guanbin Li
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Andrew Zisserman
  8. Yann LeCun
  9. Yoshua Bengio
  10. Evan Shelhamer

Who trusts Mengyang Feng overall

  1. Junhang Wei
  2. Youwei Pang
  3. Jing Zhang
  4. Shuhui Wang
  5. Huajun Zhou
  6. Nian Liu
  7. Xiaoqi Zhao
  8. Zhe Wu
  9. Qingming Huang
  10. Huchuan Lu

Papers from Mengyang Feng's perspective

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

Their papers