Nong Sang

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 925 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Nong Sang trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Yann LeCun
  9. Christian Szegedy
  10. Karen Simonyan

Who trusts Nong Sang overall

  1. Changqian Yu

Papers from Nong Sang's perspective

Ordered by how strongly the researchers Nong Sang 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. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers