Jun Jiang

Computer Vision and Pattern Recognition · with Gu · 2013–2021

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Jiang trusts overall

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

  1. Wenhan Yang
  2. Kaiming He
  3. Karen Simonyan
  4. M. Grossberg

Who trusts Jun Jiang overall

  1. Derya Akkaynak
  2. Tali Treibitz

Papers from Jun Jiang's perspective

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

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

Their papers