Lei Bai

Computer Vision and Pattern Recognition · Neural Information Processing Systems · 2019–2023

A researcher in the Science corpus: 7 papers; trusts 286 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Bai trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Shaoqing Ren
  10. Jimmy Ba

Who trusts Lei Bai overall

  1. Jeongwhan Choi
  2. Zezhi Shao
  3. Saeed Rahmani
  4. Chao Song
  5. Hwangyong Choi
  6. Fuxian Li
  7. JeeHyun Hwang
  8. Weiwei Jiang
  9. Zhao Zhang
  10. Asiye Baghbani

Papers from Lei Bai's perspective

Ordered by how strongly the researchers Lei Bai 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers