Bin Lin

Computer Vision and Pattern Recognition · 2023–2024

A researcher in the Science corpus: 4 papers; trusts 214 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Lin trusts overall

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

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

Who trusts Bin Lin overall

  1. Peng Jin
  2. Yuzhang Shang
  3. Lin Xu
  4. Hugo Laurençon
  5. Liang Chen
  6. Jiabo Ye
  7. Zesen Cheng
  8. Yuanxin Liu
  9. Xiaoqian Shen
  10. Lin Chen

Papers from Bin Lin's perspective

Ordered by how strongly the researchers Bin Lin 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. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers