Yun-feng Duan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yun-feng Duan trusts

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

  1. Xiangyu Zhang (in Computer Vision and Pattern Recognition)
  2. Nikos Komodakis (in Computer Vision and Pattern Recognition)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Yun-feng Duan's perspective

Ordered by how strongly the researchers Yun-feng Duan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Learning Deep Features for Scene Recognition using Places Database
  4. Do Deep Nets Really Need to be Deep?
  5. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
  6. Pruning Filters for Efficient ConvNets
  7. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
  8. Learning Structured Sparsity in Deep Neural Networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Quantized Convolutional Neural Networks for Mobile Devices (Computer Vision and Pattern Recognition)

Their papers