Jingliang Peng

Computer Vision and Pattern Recognition · 2005–2013

A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Jingliang Peng trusts overall

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

  1. Stéphane Mallat
  2. Gabriel Taubin
  3. David P. Luebke
  4. William E. Lorensen
  5. Zachi Karni
  6. Emil Praun
  7. Xianfeng David Gu
  8. Ian H. Witten
  9. Hugues Hoppe
  10. Craig Gotsman

Who trusts Jingliang Peng overall

  1. Rufael Mekuria
  2. Kees Blom
  3. Iasonas Kokkinos
  4. Pablo César

Papers from Jingliang Peng's perspective

Ordered by how strongly the researchers Jingliang Peng 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. Gradient-based learning applied to document recognition
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Going deeper with convolutions
  8. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers