Ge Deng

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 111 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ge Deng trusts overall

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

  1. Yi Wu
  2. Martin Danelljan
  3. Kaiming He
  4. Alex Krizhevsky

Who trusts Ge Deng overall

  1. Martin Danelljan

Papers from Ge Deng's perspective

Ordered by how strongly the researchers Ge Deng 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. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Microsoft COCO: Common Objects in Context
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers