Yuge Huang

Computer Vision and Pattern Recognition · 2020

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 Yuge Huang trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Andrew Zisserman
  5. Kaiming He
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Weidi Xie
  9. Jiankang Deng
  10. Diederik P. Kingma

Who trusts Yuge Huang overall

  1. Yuval Alaluf
  2. Tianyi Wei
  3. Minchul Kim
  4. Tan M. Dinh
  5. Yixiong Zou
  6. Fadi Boutros
  7. Yuheng Li
  8. Elad Richardson
  9. Dongdong Chen
  10. Or Patashnik

Papers from Yuge Huang's perspective

Ordered by how strongly the researchers Yuge 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. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers