Yinghong Fang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yinghong Fang trusts

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

  1. Bernt Schiele (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Mykhaylo Andriluka (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  7. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Yinghong Fang's perspective

Ordered by how strongly the researchers Yinghong Fang 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. Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
  3. ImageNet classification with deep convolutional neural networks
  4. Going deeper with convolutions
  5. Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor (IEEE International Conference on Computer Vision)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Multiple Hypothesis Tracking Revisited (IEEE International Conference on Computer Vision)
  9. ArtTrack: Articulated Multi-Person Tracking in the Wild
  10. Long Short-Term Memory

Their papers