Hu Cao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hu Cao trusts overall

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

  1. Kaiming He
  2. Hugo Touvron
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Olaf Ronneberger
  6. Ross B. Girshick
  7. Jacob Devlin
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Hu Cao overall

  1. Md Mostafijur Rahman
  2. Jiacheng Ruan
  3. Hong-Yu Zhou
  4. Jeya Maria Jose Valanarasu
  5. Kaiwen Zhang
  6. Xiaohong Huang
  7. Xiangyu Chen
  8. Haonan Wang
  9. Guoping Xu
  10. Radu Marculescu

Papers from Hu Cao's perspective

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

Their papers