Hao Liu

Computer Vision and Pattern Recognition · with Gui · 2015–2016

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

Subfields

Whom Hao Liu trusts overall

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

  1. Yi Yang
  2. Magnus Burenius
  3. Ross B. Girshick
  4. Vasileios Belagiannis

Who trusts Hao Liu overall

  1. Hanbyul Joo
  2. Dushyant Mehta
  3. Tomas Simon
  4. Donglai Xiang
  5. Taein Kwon
  6. Zerong Zheng

Papers from Hao Liu's perspective

Ordered by how strongly the researchers Hao 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers