Xun Gong

Computer Vision and Pattern Recognition · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xun Gong trusts overall

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

  1. Johan A. K. Suykens
  2. Feng Wang
  3. Sumit Chopra
  4. Yandong Wen
  5. Yann LeCun

Who trusts Xun Gong overall

  1. Yixiong Zou

Papers from Xun Gong's perspective

Ordered by how strongly the researchers Xun Gong 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. Gradient-based learning applied to document recognition
  4. Going deeper with convolutions
  5. Learning a similarity metric discriminatively, with application to face verification
  6. Learning Multiple Layers of Features from Tiny Images
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers