Quan Chen

Computer Vision and Pattern Recognition · with Feng · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Quan Chen trusts overall

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

  1. Mohinder Malhotra
  2. A. Bovik
  3. Kaiming He
  4. Jitendra Malik
  5. Ross B. Girshick
  6. Zhou Wang
  7. Shaoqing Ren
  8. Trevor Darrell
  9. Alex Krizhevsky

Who trusts Quan Chen overall

  1. Wenhan Yang

Papers from Quan Chen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Fully convolutional networks for semantic segmentation
  4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  5. Caffe: Convolutional Architecture for Fast Feature Embedding
  6. Image quality assessment: from error visibility to structural similarity
  7. Contour Detection and Hierarchical Image Segmentation
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers