Max Bain

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 519 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Max Bain trusts overall

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

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

Who trusts Max Bain overall

  1. Yi Wang
  2. Kunchang Li
  3. Haoxin Chen
  4. Yinan He
  5. Yuying Ge
  6. Alex Wang
  7. Yixiao Ge
  8. Yaohui Wang
  9. Hang Zhang
  10. Arsha Nagrani

Papers from Max Bain's perspective

Ordered by how strongly the researchers Max Bain 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers