Amir Gholaminejad

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Gholaminejad trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  6. X. Zhang (in Computer Vision and Pattern Recognition)
  7. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  8. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  9. François Chollet (in Computer Vision and Pattern Recognition)
  10. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Amir Gholaminejad's perspective

Ordered by how strongly the researchers Amir Gholaminejad 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. Microsoft COCO: Common Objects in Context
  3. Caffe: Convolutional Architecture for Fast Feature Embedding
  4. ImageNet classification with deep convolutional neural networks
  5. Aggregated Residual Transformations for Deep Neural Networks
  6. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  7. Xception: Deep Learning with Depthwise Separable Convolutions
  8. Gradient-based learning applied to document recognition
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers