Qing Xu

Computer Vision and Pattern Recognition · with Chen · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qing Xu trusts overall

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

  1. Ilya Loshchilov
  2. Kaiming He
  3. Dean A. Pomerleau
  4. Ross B. Girshick
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. X. Zhang

Papers from Qing Xu's perspective

Ordered by how strongly the researchers Qing Xu 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. Attention is All you Need (Neural Information Processing Systems)
  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. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers