Sheng-Wei Huang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng-Wei Huang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Shaoqing Ren
  4. Jun-Yan Zhu
  5. Ming-Yu Liu
  6. Phillip Isola
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Sheng-Wei Huang overall

  1. Nantheera Anantrasirichai
  2. Jaehoon Choi
  3. Mingle Xu
  4. Kaichao You
  5. Han-Kai Hsu
  6. D. Bull
  7. Taekyung Kim

Papers from Sheng-Wei Huang's perspective

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

Their papers