Rundi Wu

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 217 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Rundi Wu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Zhiqin Chen
  7. Jimmy Ba
  8. Yann LeCun
  9. Jonathan Ho
  10. Ilya Sutskever

Who trusts Rundi Wu overall

  1. Matt Deitke
  2. Peng Wang
  3. Minghua Liu
  4. Jiaxiang Tang
  5. Stanislaw Szymanowicz
  6. Ruoxi Shi

Papers from Rundi Wu's perspective

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

Their papers