Shengchao Hu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shengchao Hu trusts overall

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

  1. Dean A. Pomerleau
  2. Kaiming He
  3. Felipe Codevilla
  4. Wenjie Luo
  5. Alex Krizhevsky
  6. Mingxing Tan
  7. Geoffrey E. Hinton
  8. Jonah Philion
  9. Alexey Dosovitskiy
  10. Sergio Casas

Who trusts Shengchao Hu overall

  1. Pranav Singh Chib
  2. Li Chen
  3. Jiageng Mao
  4. Chonghao Sima
  5. Bo Jiang
  6. Pravendra Singh
  7. Peng Wu
  8. Kashyap Chitta
  9. Shaoyu Chen

Papers from Shengchao Hu's perspective

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

Their papers