Qing Cheng

Computer Vision and Pattern Recognition · with Li · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qing Cheng trusts overall

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

  1. Per Jönsson
  2. Kaiming He
  3. Nikos Komodakis
  4. Jin Chen
  5. Alexei A. Efros

Papers from Qing Cheng's perspective

Ordered by how strongly the researchers Qing Cheng 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. Going deeper with convolutions
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Texture synthesis by non-parametric sampling
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers