Xiaokang Zhang

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaokang Zhang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Evan Shelhamer
  5. Ross B. Girshick
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Yann LeCun
  9. Philipp Krahenbuhl
  10. X. Zhang

Papers from Xiaokang Zhang's perspective

Ordered by how strongly the researchers Xiaokang Zhang 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers