Jun Zhang

Computer Vision and Pattern Recognition · with Guo · 2014

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Zhang trusts overall

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

  1. David G. Lowe
  2. Ajmal Saeed Mian
  3. Yu Zhong
  4. Mohammed Bennamoun
  5. Yulan Guo
  6. Krystian Mikolajczyk

Papers from Jun Zhang's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
  3. A performance evaluation of local descriptors
  4. Recognizing Objects in Range Data Using Regional Point Descriptors
  5. On the Repeatability and Quality of Keypoints for Local Feature-based 3D Object Retrieval from Cluttered Scenes
  6. Performance Evaluation of 3D Keypoint Detectors
  7. A Method for Registration of 3-D Shapes
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
  10. ImageNet classification with deep convolutional neural networks

Their papers