Caifa Zhou

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Caifa Zhou trusts overall

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

  1. Geoffrey E. Hinton
  2. Radu Bogdan Rusu
  3. Diederik P. Kingma
  4. Federico Tombari
  5. Haowen Deng
  6. Sergey Ioffe
  7. Alex Krizhevsky
  8. Vinod Nair
  9. Christian Szegedy
  10. Jimmy Ba

Who trusts Caifa Zhou overall

  1. Xiaoshui Huang
  2. Christopher Bongsoo Choy
  3. Xuyang Bai
  4. Yue Wang
  5. Guofeng Mei
  6. Heng Yang
  7. Fu Li
  8. Shengyu Huang
  9. Sheng Ao

Papers from Caifa Zhou's perspective

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

Their papers