Hengchao Li

Computer Vision and Pattern Recognition · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hengchao Li trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)
  3. Chaomei Chen (in Cultural Studies)
  4. Trevor Darrell (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Kaiming He (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. Yann LeCun (in Computer Vision and Pattern Recognition)
  10. Li Fei-Fei (in Computer Vision and Pattern Recognition)

Papers from Hengchao Li's perspective

Ordered by how strongly the researchers Hengchao Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  7. Gradient-based learning applied to document recognition
  8. Fully convolutional networks for semantic segmentation
  9. Matching Networks for One Shot Learning
  10. ImageNet: A large-scale hierarchical image database

Their papers