Zhouchen Lin

Computer Vision and Pattern Recognition · with Huang · 2015–2024

A researcher in the Science corpus: 2 papers; trusts 110 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Zhouchen Lin trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Christian Szegedy
  4. Geoffrey E. Hinton
  5. Sergey Ioffe
  6. X. Zhang
  7. Ilya Sutskever
  8. Shaoqing Ren
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Zhouchen Lin overall

  1. Jie Hu
  2. Xingyi Zhou
  3. Bingyi Kang
  4. Yu Li
  5. Kemal Oksuz
  6. Shiori Sagawa
  7. Haomiao Liu
  8. Li Shen
  9. Xinting Hu
  10. Yong Guo

Papers from Zhouchen Lin's perspective

Ordered by how strongly the researchers Zhouchen Lin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers