Chongjian Ge

Computer Vision and Pattern Recognition · 2022–2024

A researcher in the Science corpus: 5 papers; trusts 449 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chongjian Ge trusts overall

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

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

Papers from Chongjian Ge's perspective

Ordered by how strongly the researchers Chongjian Ge 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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