Min Bai

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 680 researchers and is trusted by 1,274 researchers here, as inferred from the citation graph.

Subfields

Whom Min Bai trusts overall

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

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

Who trusts Min Bai overall

  1. Huiyu Wang
  2. David Acuna
  3. Liang-Chieh Chen
  4. Yukun Zhu
  5. Daniel Bolya
  6. Kaiming He
  7. Sanja Fidler
  8. Qihang Yu
  9. Shu Liu
  10. Wenwei Zhang

Papers from Min Bai's perspective

Ordered by how strongly the researchers Min Bai 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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