Mark S. Nixon

Computer Vision and Pattern Recognition · 2001–2013

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Mark S. Nixon trusts overall

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

  1. Thorsten Joachims
  2. Devi Parikh
  3. Timo Ojala
  4. Kristen Grauman
  5. Adriana Kovashka

Who trusts Mark S. Nixon overall

  1. Eun-Jae Lee
  2. Rafael Staiger Bressan
  3. Yong-Hwan Kim
  4. Nikolaos V. Boulgouris
  5. Daniel H. A. Alves
  6. Mircea Cimpoi
  7. Yasushi Makihara
  8. Li Liu
  9. Namkug Kim

Papers from Mark S. Nixon's perspective

Ordered by how strongly the researchers Mark S. Nixon 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. Gradient-based learning applied to document recognition
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  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. Learning Multiple Layers of Features from Tiny Images

Their papers