Kwang-Ting Cheng

Computer Vision and Pattern Recognition · with Avidan · 2006

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Kwang-Ting Cheng trusts overall

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

  1. Paul A. Viola
  2. Fatih Murat Porikli

Who trusts Kwang-Ting Cheng overall

  1. Piotr Doll'ar
  2. Christian Wojek
  3. Abhinav Kumar Gupta
  4. Markus Enzweiler
  5. Weiwei Zhang
  6. Janis Keuper

Papers from Kwang-Ting Cheng's perspective

Ordered by how strongly the researchers Kwang-Ting Cheng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Rapid object detection using a boosted cascade of simple features
  2. Integral histogram: a fast way to extract histograms in Cartesian spaces (Computer Vision and Pattern Recognition)
  3. Detecting Pedestrians Using Patterns of Motion and Appearance (Proceedings Ninth IEEE International Conference on Computer Vision)
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers