Xinzhong Zhu

Computer Vision and Pattern Recognition · with Wang · 2018–2021

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

Subfields

Whom Xinzhong Zhu trusts overall

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

  1. Feiping Nie
  2. Changqing Zhang

Papers from Xinzhong Zhu's perspective

Ordered by how strongly the researchers Xinzhong Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. A tutorial on spectral clustering
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers