Xiaosong Jia

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaosong Jia trusts overall

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

  1. Kaiming He
  2. Felipe Codevilla
  3. Thomas G. Dietterich
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Jia Deng
  8. Yoshua Bengio
  9. Philipp Krahenbuhl
  10. Yann LeCun

Who trusts Xiaosong Jia overall

  1. Pranav Singh Chib
  2. Daniel Dauner

Papers from Xiaosong Jia's perspective

Ordered by how strongly the researchers Xiaosong Jia 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers