Yilin Wang

Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 94 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yilin Wang trusts overall

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

  1. A. Bovik
  2. Anush K. Moorthy
  3. Anish Mittal
  4. Zhou Wang
  5. Michele A. Saad
  6. Deepti Ghadiyaram
  7. Hamid R. Sheikh
  8. Geoffrey E. Hinton
  9. Stefan Winkler
  10. Kaiming He

Who trusts Yilin Wang overall

  1. Haoning Wu
  2. Alexandre Mercat
  3. Zhengzhong Tu
  4. Shangding Gu
  5. Chaofeng Chen
  6. Marko Viitanen
  7. Jianyi Wang
  8. Liang Liao
  9. Erli Zhang
  10. Ziqi Huang

Papers from Yilin Wang's perspective

Ordered by how strongly the researchers Yilin Wang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. Learning Multiple Layers of Features from Tiny Images

Their papers