Zhanpeng Huang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhanpeng Huang trusts overall

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

  1. Daniel Wagner
  2. David G. Lowe
  3. Christopher Evans
  4. Mark Fiala
  5. Yan Ke

Papers from Zhanpeng Huang's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Caffe: Convolutional Architecture for Fast Feature Embedding
  3. Notes on the OpenSURF Library
  4. Fast R-CNN
  5. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  6. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  7. PCA-SIFT: a more distinctive representation for local image descriptors
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. YOLO9000: Better, Faster, Stronger
  10. Gradient-based learning applied to document recognition

Their papers