Paul C. Merrell

Computer Vision and Pattern Recognition · 2007–2011

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Paul C. Merrell trusts overall

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

  1. Peter J. Green
  2. George Stiny
  3. Pascal Müller
  4. Stuart Geman
  5. Daphne Koller
  6. Brian Curless
  7. Peter Wonka
  8. Donald Geman
  9. S. M. Seitz
  10. Nir Friedman

Who trusts Paul C. Merrell overall

  1. Yao Yao
  2. Ankur Handa
  3. Yasutaka Furukawa
  4. Siddhartha Chaudhuri
  5. Xiaoyan Hu
  6. Wenming Wu
  7. Xinpeng Wang
  8. Matthew Fisher
  9. Zixin Luo
  10. Kevin Karsch

Papers from Paul C. Merrell's perspective

Ordered by how strongly the researchers Paul C. Merrell 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Fast approximate energy minimization via graph cuts
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers