Mingmin Zhao

Computer Vision and Pattern Recognition · with Katabi · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 137 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mingmin Zhao trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Fadel M. Adib
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Shaoqing Ren
  8. Sergey Ioffe
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Mingmin Zhao overall

  1. Arindam Sengupta
  2. Lin Wang
  3. Fida Mohammad Thoker
  4. Xueyi Wang
  5. Chaoyun Zhang
  6. Jianping Gou
  7. Feng Jin
  8. Ce Zheng
  9. Yue Zheng
  10. Yi Zhang

Papers from Mingmin Zhao's perspective

Ordered by how strongly the researchers Mingmin Zhao 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. 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. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers