Dongbo Min

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 92 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dongbo Min trusts overall

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

  1. Michael Elad
  2. Qingxiong Yang
  3. Dani Lischinski
  4. Heiko Hirschmüller
  5. Eduardo Simoes Lopes Gastal
  6. Rick Chartrand
  7. Xiaobo An
  8. Anat Levin
  9. Yann LeCun
  10. Daniel Scharstein

Who trusts Dongbo Min overall

  1. Jonathan T. Barron
  2. Pablo Fernández Alcantarilla
  3. Marc Bosch
  4. Ben Poole

Papers from Dongbo Min's perspective

Ordered by how strongly the researchers Dongbo Min 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers