Wei Feng

Computer Vision and Pattern Recognition · ECCV Workshops · 2017–2022

A researcher in the Science corpus: 7 papers; trusts 438 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Feng trusts overall

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

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

Who trusts Wei Feng overall

  1. Zhipeng Zhang
  2. Martin Danelljan
  3. Dongyan Guo
  4. Qiang Wang
  5. Houwen Peng
  6. Ning Wang
  7. Lianghua Huang
  8. Seyed Mojtaba Marvasti-Zadeh

Papers from Wei Feng's perspective

Ordered by how strongly the researchers Wei Feng 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers