Congcong Li

Computer Vision and Pattern Recognition · with Shen · 2010–2020

A researcher in the Science corpus: 6 papers; trusts 544 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Congcong Li trusts overall

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

  1. Antonio Torralba
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Ross B. Girshick
  7. Ashutosh Saxena
  8. Yoshua Bengio
  9. Li Fei-Fei
  10. Aude Oliva

Who trusts Congcong Li overall

  1. Hema Swetha Koppula
  2. Abhishek Anand
  3. Ashutosh Saxena
  4. Yun Jiang
  5. Hao Zhu
  6. Kevin Karsch
  7. Mojtaba Seyedhosseini
  8. Rudhir Gupta
  9. Min Sun
  10. Thorsten Joachims

Papers from Congcong Li's perspective

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