John Philip Collomosse

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 7 papers; trusts 743 researchers and is trusted by 73 researchers here, as inferred from the citation graph.

Subfields

Whom John Philip Collomosse trusts overall

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

  1. David G. Lowe
  2. Geoffrey E. Hinton
  3. Andrew Zisserman
  4. Alex Krizhevsky
  5. Kaiming He
  6. Christian Szegedy
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts John Philip Collomosse overall

  1. Ayan Kumar Bhunia
  2. Aneeshan Sain
  3. Yi-Zhe Song
  4. Tao A. Xiang
  5. Yongxin Yang
  6. Pinaki Nath Chowdhury
  7. Leo Sampaio Ferraz Ribeiro
  8. Qian Yu
  9. Tu Bui
  10. Subhadeep Koley

Papers from John Philip Collomosse's perspective

Ordered by how strongly the researchers John Philip Collomosse 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers