Shahab Kamali

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shahab Kamali trusts overall

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

  1. Ross B. Girshick
  2. Paul A. Viola
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky

Papers from Shahab Kamali's perspective

Ordered by how strongly the researchers Shahab Kamali 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: A large-scale hierarchical image database
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Going deeper with convolutions
  6. Learning Multiple Layers of Features from Tiny Images
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Microsoft COCO: Common Objects in Context
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers