Daniel Racoceanu

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Racoceanu trusts overall

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

  1. Jitendra Malik
  2. Jianbo Shi
  3. Luminita A. Vese
  4. Tony F. Chan

Who trusts Daniel Racoceanu overall

  1. Fuyong Xing

Papers from Daniel Racoceanu's perspective

Ordered by how strongly the researchers Daniel Racoceanu 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. ImageNet Large Scale Visual Recognition Challenge
  4. Going deeper with convolutions
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Normalized cuts and image segmentation
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers