Hao Su

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

A researcher in the Science corpus: 2 papers; trusts 140 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Su trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Shaoqing Ren
  4. Karen Simonyan
  5. Tsung-Yi Lin
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Andrew Zisserman
  9. X. Zhang
  10. Yann LeCun

Papers from Hao Su's perspective

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

Their papers