James M. Ferryman

Computer Vision and Pattern Recognition · 2009–2016

A researcher in the Science corpus: 7 papers; trusts 40 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom James M. Ferryman trusts overall

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

  1. Shankar Bhausaheb Nikam
  2. Emanuela Marasco
  3. Leo Breiman
  4. Suneeta Agarwal
  5. Luca Ghiani
  6. Arun A. Ross
  7. Gian Luca Marcialis
  8. Ajita Rattani

Who trusts James M. Ferryman overall

  1. Anton Milan
  2. Longyin Wen
  3. Patrick Dendorfer
  4. Jan Hendrik Hosang
  5. L. Leal-Taix'e
  6. Amir Zamir
  7. Yi Wu
  8. Chanho Kim
  9. Haroon Idrees
  10. Donghoon Lee

Papers from James M. Ferryman's perspective

Ordered by how strongly the researchers James M. Ferryman 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. ImageNet: A large-scale hierarchical image database
  5. Histograms of oriented gradients for human detection
  6. Going deeper with convolutions
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers