Xiao-Hua Ding

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao-Hua Ding trusts overall

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

  1. Andreas Geiger
  2. Ilya Loshchilov
  3. Moritz Menze
  4. Jia-Ren Chang

Papers from Xiao-Hua Ding's perspective

Ordered by how strongly the researchers Xiao-Hua Ding 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Are we ready for autonomous driving? The KITTI vision benchmark suite
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers