Colin Ponce

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 2 papers; trusts 214 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom Colin Ponce trusts overall

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

  1. Ivan Laptev
  2. David G. Lowe
  3. Thomas Serre
  4. Marc'Aurelio Ranzato
  5. Piotr Doll'ar
  6. Geoffrey E. Hinton
  7. Yann LeCun
  8. Navneet Dalal
  9. Alex Krizhevsky
  10. Jim Mutch

Who trusts Colin Ponce overall

  1. Hema Swetha Koppula
  2. Fei Han
  3. Ashutosh Saxena
  4. Runlin Zhao
  5. Hao Zhang
  6. Y. Zhu
  7. Yun Jiang
  8. Matteo Munaro
  9. Zhao Yang
  10. Kai Berger

Papers from Colin Ponce's perspective

Ordered by how strongly the researchers Colin Ponce 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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