A. Rovinski

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom A. Rovinski trusts overall

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

  1. Karen Simonyan
  2. Andrew Zisserman
  3. Alex Krizhevsky

Who trusts A. Rovinski overall

  1. Young Geun Kim

Papers from A. Rovinski's perspective

Ordered by how strongly the researchers A. Rovinski 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Natural Language Processing (Almost) from Scratch
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. cuDNN: Efficient Primitives for Deep Learning
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. The Kaldi Speech Recognition Toolkit
  10. DeepFace: Closing the Gap to Human-Level Performance in Face Verification

Their papers