Xinzhong Zhu

Computer Vision and Pattern Recognition · with Chen · 2024

A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xinzhong Zhu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Tsung-Yi Lin
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Shaoqing Ren
  8. Piotr Doll'ar
  9. Christian Szegedy
  10. Yann LeCun

Papers from Xinzhong Zhu's perspective

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

Their papers