Tianwei Yin

Computer Vision and Pattern Recognition · 2020–2024

A researcher in the Science corpus: 6 papers; trusts 938 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Tianwei Yin trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Yann LeCun
  9. Karen Simonyan
  10. Jonathan Ho

Who trusts Tianwei Yin overall

  1. Junjie Huang
  2. Yingfei Liu
  3. Jiageng Mao
  4. Zhijian Liu
  5. Tingting Liang
  6. Yue Wang
  7. Yanwei Li
  8. Guan Huang
  9. Xuanyao Chen
  10. Yujing Xue

Papers from Tianwei Yin's perspective

Ordered by how strongly the researchers Tianwei Yin 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers