Tianyu Wang

Computer Vision and Pattern Recognition · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianyu Wang trusts overall

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

  1. Kaiming He
  2. Fisher Yu
  3. He Zhang
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Zhou Wang
  7. X. Zhang
  8. Li-Wei Kang
  9. Alex Krizhevsky
  10. Sean Bell

Who trusts Tianyu Wang overall

  1. Ozan Özdenizci
  2. Jie Xiao
  3. Xiang Chen
  4. Zhendong Wang
  5. Linfeng Tang
  6. Man Zhou
  7. Kui Jiang
  8. Robert A. Legenstein
  9. Xueyang Fu

Papers from Tianyu Wang's perspective

Ordered by how strongly the researchers Tianyu 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers