Man On Pun

Computer Vision and Pattern Recognition · 2007–2024

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Man On Pun trusts overall

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

  1. Kaiming He
  2. Michele Morelli
  3. Iroon Polytechniou
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Evan Shelhamer
  7. Ross B. Girshick
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Man On Pun overall

  1. Jingxian Wu
  2. Gang Yang

Papers from Man On Pun's perspective

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

Their papers