Jiawei Zhang

Computer Vision and Pattern Recognition · with Bai · 2024

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiawei Zhang trusts overall

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

  1. Johannes L. Schönberger
  2. René Ranftl
  3. Jonathan T. Barron
  4. Anpei Chen
  5. Alex Yu
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Kaiming He
  9. Alex Krizhevsky
  10. Matthew Tancik

Papers from Jiawei Zhang's perspective

Ordered by how strongly the researchers Jiawei 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  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