J. Han

Computer Vision and Pattern Recognition · with Doll'ar · 2014

A researcher in the Science corpus: 1 paper; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Han trusts overall

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

  1. Alex Krizhevsky
  2. Piotr Doll'ar
  3. Jerome H. Friedman
  4. Eric R. Ziegel
  5. Navneet Dalal
  6. Ross B. Girshick
  7. Bharath Hariharan
  8. Robert E. Schapire
  9. Geoffrey E. Hinton
  10. Jitendra Malik

Who trusts J. Han overall

  1. Xiaodan Liang
  2. Zhaowei Cai

Papers from J. Han's perspective

Ordered by how strongly the researchers J. Han 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. Learning Multiple Layers of Features from Tiny Images
  4. Histograms of oriented gradients for human detection
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers