Hong-Yu Zhou

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2017–2023

A researcher in the Science corpus: 4 papers; trusts 362 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hong-Yu Zhou trusts overall

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

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

Who trusts Hong-Yu Zhou overall

  1. Abdelrahman M. Shaker
  2. Huiyu Wang
  3. Zhaohu Xing
  4. Muhammad Maaz
  5. Fabian Isensee
  6. Saidul Islam
  7. Kelei He
  8. Yuanfeng Ji
  9. Aniruddha Kembhavi
  10. Hanoona Abdul Rasheed

Papers from Hong-Yu Zhou's perspective

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

Their papers