Dahong Qian

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dahong Qian trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Trevor Darrell (in Computer Vision and Pattern Recognition)
  7. Thomas Brox (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Jitendra Malik (in Computer Vision and Pattern Recognition)
  10. Abhinav Kumar Gupta (in Computer Vision and Pattern Recognition)

Papers from Dahong Qian's perspective

Ordered by how strongly the researchers Dahong Qian 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. Fully convolutional networks for semantic segmentation
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. ImageNet classification with deep convolutional neural networks
  5. Non-local Neural Networks
  6. Feature Pyramid Networks for Object Detection
  7. Gradient-based learning applied to document recognition
  8. Squeeze-and-Excitation Networks
  9. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers