Jinghao Zhou

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 178 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinghao Zhou trusts overall

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

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

Who trusts Jinghao Zhou overall

  1. Mahmoud Assran
  2. Jingfeng Yao
  3. Timothée Darcet
  4. Hugo Touvron
  5. Roman Bachmann
  6. Maxime Oquab
  7. Xinggang Wang
  8. Johan Edstedt
  9. Mat'ias Mendieta
  10. Haotian Liu

Papers from Jinghao Zhou's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers