Han Hu

Computer Vision and Pattern Recognition · with Feng · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Han Hu trusts overall

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

  1. René Vidal
  2. Roberto Tron
  3. Ehsan Elhamifar
  4. Jianbo Shi
  5. Jingyu Yan
  6. Xiaofei He
  7. Yi Ma
  8. Hans-Peter Kriegel
  9. Shankar R. Rao
  10. Jitendra Malik

Who trusts Han Hu overall

  1. Changqing Zhang
  2. Xiaochun Cao
  3. Huan Fu
  4. Handong Zhao
  5. Mengyue Geng
  6. Zhengming Ding
  7. Qinghua Hu
  8. Si Liu
  9. Yaowei Wang

Papers from Han Hu's perspective

Ordered by how strongly the researchers Han 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Normalized cuts and image segmentation

Their papers