Chao Chen

Computer Vision and Pattern Recognition · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao Chen trusts overall

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

  1. Daniel Müllner
  2. Álvaro González
  3. Charles Ruizhongtai Qi
  4. Roman Klokov
  5. Gernot Riegler
  6. Max Jaderberg
  7. Karen Simonyan
  8. Carlos Esteves
  9. Zhirong Wu
  10. Hao Su

Who trusts Chao Chen overall

  1. Yulan Guo
  2. Weiwei Sun
  3. Qingyong Hu

Papers from Chao Chen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers