King Ngi Ngan

Computer Vision and Pattern Recognition · IEEE transactions on circuits and systems for video technology (Print) · 2006–2011

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom King Ngi Ngan trusts overall

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

  1. John F. Canny
  2. Andrew B. Watson
  3. Zhou Wang
  4. Joost van de Weijer
  5. Radhakrishna Achanta
  6. Junwei Han
  7. Yining Deng
  8. A. Bovik
  9. Derrick J. Parkhurst
  10. Jianping Fan

Who trusts King Ngi Ngan overall

  1. Dingwen Zhang
  2. Ming-Ming Cheng
  3. Junwei Han
  4. Radhakrishna Achanta
  5. Niloy J. Mitra
  6. Deyu Meng
  7. Peicheng Zhou
  8. Hongliang Li
  9. Runmin Cong
  10. Xiaolei Huang

Papers from King Ngi Ngan's perspective

Ordered by how strongly the researchers King Ngi Ngan 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers