Mickey Aleksic

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mickey Aleksic trusts

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

  1. Alex Krizhevsky (in Generative Models)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Karen Simonyan (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  6. X. Zhang (in Computer Vision and Pattern Recognition)

Papers from Mickey Aleksic's perspective

Ordered by how strongly the researchers Mickey Aleksic 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. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
  5. Convolutional Deep Belief Networks on CIFAR-10
  6. Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation
  7. Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
  8. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. Learning Multiple Layers of Features from Tiny Images

Their papers