Xiangke Liao

Computer Vision and Pattern Recognition · 2012–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiangke Liao trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. X. Zhang (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Xiangke Liao's perspective

Ordered by how strongly the researchers Xiangke Liao 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: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Caffe: Convolutional Architecture for Fast Feature Embedding
  5. Gradient-based learning applied to document recognition
  6. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers