Haifeng Shen

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haifeng Shen trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Lei Zhang (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Jitendra Malik (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Michael Elad (in Computer Vision and Pattern Recognition)
  10. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Haifeng Shen's perspective

Ordered by how strongly the researchers Haifeng Shen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Densely Connected Convolutional Networks
  4. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
  5. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
  6. Generative Adversarial Nets (Neural Information Processing Systems)
  7. ImageNet classification with deep convolutional neural networks
  8. Squeeze-and-Excitation Networks
  9. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
  10. Single image super-resolution from transformed self-exemplars

Their papers