Xiang Chen

Computer Vision and Pattern Recognition · with Li · 2023

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiang Chen trusts overall

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

  1. Anish Mittal
  2. Ilya Loshchilov
  3. Syed Waqas Zamir
  4. A. Bovik
  5. Geoffrey E. Hinton
  6. Kaiming He
  7. Alex Krizhevsky
  8. Zhou Wang
  9. Diederik P. Kingma
  10. Ashish Vaswani

Papers from Xiang Chen's perspective

Ordered by how strongly the researchers Xiang Chen 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. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers