Jiaxing Huang

Computer Vision and Pattern Recognition · 2003–2023

A researcher in the Science corpus: 22 papers; trusts 813 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Jiaxing Huang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Andrew Zisserman

Who trusts Jiaxing Huang overall

  1. Jaroslav Stejskal
  2. I. Sapurina
  3. Yunze Long
  4. Abu Z. Sadek
  5. Miroslava Trchová
  6. G. Ćirić‐Marjanović
  7. A. Abdolahi
  8. Qiongyu Wu
  9. Mengmeng Li
  10. Richard B. Kaner

Papers from Jiaxing Huang's perspective

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

Their papers