Jiong Yang

Computer Vision and Pattern Recognition · with Beijbom · 2018

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jiong Yang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Tsung-Yi Lin
  5. Alex Krizhevsky
  6. Binh Yang
  7. Bo Li

Who trusts Jiong Yang overall

  1. Runsheng Xu
  2. Shaoshuai Shi

Papers from Jiong Yang's perspective

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

Their papers