Pascual Campoy

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pascual Campoy trusts

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

  1. Chih-Jen Lin (in Artificial Intelligence)
  2. Morgan Quigley (in Robotics & Control)
  3. Ezio Malis (in Computer Vision and Pattern Recognition)
  4. Diederik P. Kingma (in Artificial Intelligence)
  5. Bill Triggs (in Computer Vision and Pattern Recognition)
  6. Navneet Dalal (in Computer Vision and Pattern Recognition)
  7. Jimmy Ba (in Artificial Intelligence)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Patrick Doherty (in Computer Vision and Pattern Recognition)
  10. Piotr Rudol (in Computer Vision and Pattern Recognition)

Papers from Pascual Campoy's perspective

Ordered by how strongly the researchers Pascual Campoy trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Histograms of oriented gradients for human detection
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Rectified Linear Units Improve Restricted Boltzmann Machines
  6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  7. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  8. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  9. LIBLINEAR: A Library for Large Linear Classification
  10. LIBSVM: A library for support vector machines

Their papers