Lianghua Huang

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 749 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Lianghua Huang trusts overall

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

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

Who trusts Lianghua Huang overall

  1. Martin Danelljan
  2. Xin Chen
  3. Goutam Bhat
  4. Houwen Peng
  5. Zhipeng Zhang
  6. Bin Yan
  7. Senthil Purushwalkam
  8. Luc Van Gool
  9. Radu Timofte
  10. Jiawen Zhu

Papers from Lianghua Huang's perspective

Ordered by how strongly the researchers Lianghua 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers