Xiangchao Meng

Computer Vision and Pattern Recognition · with Shen · 2017

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiangchao Meng trusts overall

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

  1. Andrea Garzelli
  2. Boris Polyak
  3. Bruno Aiazzi
  4. Kaiming He
  5. Andrea Vedaldi
  6. Filippo Nencini
  7. Jiwon Kim
  8. Zhou Wang
  9. Luciano Alparone
  10. Christian Szegedy

Papers from Xiangchao Meng's perspective

Ordered by how strongly the researchers Xiangchao Meng 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. Going deeper with convolutions
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers