Attila Schulc

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Attila Schulc trusts overall

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

  1. Kaiming He
  2. Dimitrios Kollias
  3. Phillip Isola
  4. X. Zhang
  5. Shuo Yang
  6. Mahyar Najibi
  7. Alex Krizhevsky
  8. R. Cowie
  9. Geoffrey E. Hinton
  10. Shaoqing Ren

Papers from Attila Schulc's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers