Wen-Long Lin

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wen-Long Lin trusts overall

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

  1. Jiankang Deng
  2. Yandong Wen
  3. Kaiming He
  4. Jia Guo
  5. Zequn Qin
  6. Jun Fu

Papers from Wen-Long Lin's perspective

Ordered by how strongly the researchers Wen-Long Lin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers