Tianhao Xie

Computer Vision and Pattern Recognition · 2022

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 Tianhao Xie trusts overall

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

  1. Ajay Jain
  2. Aditya Ramesh
  3. Jonathan Ho
  4. Alex Nichol
  5. Diederik P. Kingma
  6. Geoffrey E. Hinton
  7. Alec Radford
  8. Prafulla Dhariwal
  9. Samuli Laine
  10. Alex Krizhevsky

Who trusts Tianhao Xie overall

  1. Zilong Chen
  2. Alex Nichol
  3. Rui Chen
  4. Luke Melas-Kyriazi
  5. Elad Richardson
  6. Jiaxiang Tang
  7. Lukas Höllein
  8. Haochen Wang

Papers from Tianhao Xie's perspective

Ordered by how strongly the researchers Tianhao Xie 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. Attention is All you Need (Neural Information Processing Systems)
  4. GENERATIVE ADVERSARIAL NETS
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Gradient-based learning applied to document recognition

Their papers