Changchang Wu

Computer Vision and Pattern Recognition · 2007–2014

A researcher in the Science corpus: 5 papers; trusts 82 researchers and is trusted by 829 researchers here, as inferred from the citation graph.

Subfields

Whom Changchang Wu trusts overall

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

  1. David G. Lowe
  2. Sameer Agarwal
  3. Jonathan Richard Shewchuk
  4. David Nistér
  5. Noah Snavely
  6. Manolis I. A. Lourakis
  7. S. M. Seitz
  8. Richard Szeliski
  9. Yasutaka Furukawa
  10. Jan-Michael Frahm

Who trusts Changchang Wu overall

  1. Ali O. Ulusoy
  2. Johannes L. Schönberger
  3. Alex Kendall
  4. Torsten Sattler
  5. Kwang Moo Yi
  6. Michael J. Black
  7. A. Evin
  8. Felix Endres
  9. Muhamad Risqi U. Saputra
  10. Eduard Trulls

Papers from Changchang Wu's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers