Xin Lai

Computer Vision and Pattern Recognition · with Jia · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 491 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Lai trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Jimmy Ba

Who trusts Xin Lai overall

  1. Shaoshuai Shi
  2. Jonas Schult
  3. Guocheng Qian
  4. Ziyu Liu
  5. Umberto Michieli
  6. Hanoona Abdul Rasheed

Papers from Xin Lai's perspective

Ordered by how strongly the researchers Xin Lai 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. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers