Daxin Tian

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 139 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daxin Tian trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Charles Ruizhongtai Qi
  7. Yann LeCun
  8. Ilya Sutskever
  9. Andrew Zisserman
  10. Yoshua Bengio

Papers from Daxin Tian's perspective

Ordered by how strongly the researchers Daxin Tian trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Going deeper with convolutions
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers