Guodong Ding

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guodong Ding trusts overall

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

  1. Geoffrey E. Hinton
  2. João Carreira
  3. L. V. D. van der Maaten
  4. Andrew Zisserman
  5. Alex Krizhevsky
  6. Kaiming He
  7. Alireza Fathi
  8. Yoshua Bengio
  9. Ji Lin
  10. Yann LeCun

Papers from Guodong Ding's perspective

Ordered by how strongly the researchers Guodong Ding 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers