Tsun-Hsuan Wang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tsun-Hsuan Wang trusts overall

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

  1. Diederik P. Kingma
  2. Wenjie Luo
  3. Binh Yang
  4. Raquel Urtasun
  5. Christian Szegedy
  6. Geoffrey E. Hinton
  7. Jimmy Ba
  8. Andreas Geiger
  9. Alex Krizhevsky
  10. Kaiming He

Who trusts Tsun-Hsuan Wang overall

  1. Runsheng Xu
  2. Yue Hu
  3. Hao Xiang
  4. Xin Xia
  5. Yiming Li
  6. Zhengzhong Tu

Papers from Tsun-Hsuan Wang's perspective

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

Their papers