Amir Adler

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Adler trusts overall

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

  1. Richard Szeliski
  2. Ge Wang

Who trusts Amir Adler overall

  1. S. M. Mousavi
  2. Fangshu Yang

Papers from Amir Adler's perspective

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

  1. Image quality assessment: from error visibility to structural similarity
  2. Multilayer feedforward networks are universal approximators
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet: A large-scale hierarchical image database
  6. Deep Learning
  7. Computer Vision - Algorithms and Applications
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  10. Gradient-based learning applied to document recognition

Their papers