Helong Zhou

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Helong Zhou trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Christian Szegedy
  6. Yoshua Bengio
  7. Shaoqing Ren
  8. Yann LeCun
  9. Jia Deng
  10. Diederik P. Kingma

Papers from Helong Zhou's perspective

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

Their papers