Zitian Huang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zitian Huang trusts overall

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

  1. Charles Ruizhongtai Qi
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Individualized Treat
  5. Ross B. Girshick
  6. Alex Krizhevsky
  7. Hao Su
  8. Zhaowei Cai
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Zitian Huang overall

  1. Chaozheng Wu
  2. Xumin Yu

Papers from Zitian Huang's perspective

Ordered by how strongly the researchers Zitian Huang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers