Minzhe Niu

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 235 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minzhe Niu trusts overall

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

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

Who trusts Minzhe Niu overall

  1. Jiageng Mao
  2. Yukang Chen
  3. Yujing Xue

Papers from Minzhe Niu's perspective

Ordered by how strongly the researchers Minzhe Niu 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers