Meiguang Jin

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Meiguang Jin trusts overall

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

  1. Stefan Roth

Who trusts Meiguang Jin overall

  1. Kai Zhang

Papers from Meiguang Jin's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Extracting and composing robust features with denoising autoencoders

Their papers