Jianjun Chen

Computer Vision and Pattern Recognition · with Dai · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianjun Chen trusts overall

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

  1. Lukás Neumann
  2. Jiri Matas
  3. Weilin Huang

Papers from Jianjun Chen's perspective

Ordered by how strongly the researchers Jianjun Chen 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Detecting text in natural scenes with stroke width transform
  5. Robust wide-baseline stereo from maximally stable extremal regions
  6. Going deeper with convolutions
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. End-to-end scene text recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers