Jiandong Tian

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 139 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jiandong Tian trusts overall

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

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

Who trusts Jiandong Tian overall

  1. Deng-Ping Fan

Papers from Jiandong Tian's perspective

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

Their papers