Mengchen Liu

Computer Vision and Pattern Recognition · with Liu · 2013–2017

A researcher in the Science corpus: 5 papers; trusts 122 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Mengchen Liu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Shixia Liu
  5. L. Eon Bottou
  6. Yann LeCun
  7. Matthew D. Zeiler
  8. Weiwei Cui
  9. Karen Simonyan
  10. Ross B. Girshick

Who trusts Mengchen Liu overall

  1. Shixia Liu
  2. Yao Ming
  3. Sina Mohseni
  4. Hendrik Strobelt
  5. Niloofar Zarei
  6. Minsuk Kahng
  7. Alfredo Vellido
  8. Xiting Wang
  9. Paolo Tamagnini
  10. Richard Meyes

Papers from Mengchen Liu's perspective

Ordered by how strongly the researchers Mengchen Liu 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers