Serkan Piantino

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Serkan Piantino trusts overall

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

  1. Alex Krizhevsky
  2. Stéphane Mallat

Who trusts Serkan Piantino overall

  1. Xiangyu Zhang
  2. Andrew Lavin
  3. Yihui He

Papers from Serkan Piantino's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Learning Multiple Layers of Features from Tiny Images
  4. Histograms of oriented gradients for human detection
  5. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. Deep Learning
  8. Torch7: A Matlab-like Environment for Machine Learning
  9. Natural Language Processing (Almost) from Scratch
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers