Tiancai Wang

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 8 papers; trusts 964 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Tiancai Wang trusts overall

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

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

Who trusts Tiancai Wang overall

  1. Yingfei Liu
  2. Chien-Yao Wang
  3. Shihao Wang
  4. Junjie Huang
  5. Yunpeng Zhang
  6. Ding Jia
  7. Hongpeng Liao
  8. Rao Muhammad Anwer

Papers from Tiancai Wang's perspective

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

Their papers