Steven Liu

Computer Vision and Pattern Recognition · with Zhang · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 359 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Steven Liu trusts overall

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

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

Who trusts Steven Liu overall

  1. Dan Friedman
  2. Shreshth Tuli
  3. Sosuke Kobayashi
  4. Kevin Meng
  5. Mohammadreza Armandpour
  6. Kangle Deng
  7. Long Zhao
  8. Shengqiong Wu
  9. Jun-Yan Zhu
  10. Chenlin Meng

Papers from Steven Liu's perspective

Ordered by how strongly the researchers Steven Liu 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. 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. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers