Jing Huang

Computer Vision and Pattern Recognition · with You · 2016

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Huang trusts overall

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

  1. Shuran Song
  2. Daniel Maturana
  3. Danil V. Prokhorov
  4. Yann LeCun
  5. Jianxiong Xiao
  6. Pedro H. O. Pinheiro
  7. Sebastian A. Scherer
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Ronan Collobert

Who trusts Jing Huang overall

  1. Alberto Garcia-Garcia
  2. Gernot Riegler
  3. Ankit Goyal
  4. Sergio Orts
  5. Yulan Guo
  6. Jens Behley
  7. Ali O. Ulusoy
  8. Yaoqing Yang
  9. Sergiu Oprea
  10. Andreas Geiger

Papers from Jing Huang's perspective

Ordered by how strongly the researchers Jing Huang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers