Nianyi Li

Computer Vision and Pattern Recognition · 2017

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

Subfields

Whom Nianyi Li trusts overall

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

  1. Xiaodi Hou
  2. Xiaohui Shen
  3. Radhakrishna Achanta
  4. Ali Borji
  5. Houwen Peng
  6. Jonathan Harel
  7. Aseem Agarwala
  8. Ming-Ming Cheng
  9. Ying Wu
  10. Christof Koch

Who trusts Nianyi Li overall

  1. Deng-Ping Fan
  2. Nian Liu
  3. Jiaxing Zhao
  4. Liangqiong Qu
  5. Jing Zhang

Papers from Nianyi Li's perspective

Ordered by how strongly the researchers Nianyi Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Going deeper with convolutions
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers