Fangqiang Hu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fangqiang Hu trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. X. Zhang (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Li Fei-Fei (in Computer Vision and Pattern Recognition)

Papers from Fangqiang Hu's perspective

Ordered by how strongly the researchers Fangqiang Hu 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. Microsoft COCO: Common Objects in Context
  3. Show and tell: A neural image caption generator
  4. Extracting and composing robust features with denoising autoencoders
  5. Deep Visual-Semantic Alignments for Generating Image Descriptions
  6. ImageNet classification with deep convolutional neural networks
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers