Runmin Cong

Computer Vision and Pattern Recognition · 2016–2023

A researcher in the Science corpus: 10 papers; trusts 861 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Runmin Cong trusts overall

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

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

Who trusts Runmin Cong overall

  1. Chongyi Li
  2. Wenguan Wang
  3. Lintao Peng
  4. Deng-Ping Fan
  5. Fahad Shamshad
  6. Yudong Wang

Papers from Runmin Cong's perspective

Ordered by how strongly the researchers Runmin Cong 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. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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