Junshi Xia

Computer Vision and Pattern Recognition · with Adriano · 2022

A researcher in the Science corpus: 1 paper; trusts 166 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junshi Xia trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Evan Shelhamer
  10. Tsung-Yi Lin

Who trusts Junshi Xia overall

  1. Danfeng Hong

Papers from Junshi Xia's perspective

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

Their papers