M. Flickner

Computer Vision and Pattern Recognition · 2000–2017

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom M. Flickner trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Who trusts M. Flickner

  1. Qiang Ji (in Human-Computer Interaction)
  2. Gulbadan Sikander (in Human-Computer Interaction)
  3. Shahzad Anwar (in Human-Computer Interaction)
  4. Zhiwei Zhu (in Human-Computer Interaction)
  5. Garrick Orchard (in Electrical and Electronic Engineering)
  6. Michael Pfeiffer (in Electrical and Electronic Engineering)

Papers from M. Flickner's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Going deeper with convolutions
  4. Improving neural networks by preventing co-adaptation of feature detectors
  5. Network In Network
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Striving for Simplicity: The All Convolutional Net
  8. cuDNN: Efficient Primitives for Deep Learning
  9. 3D Convolutional Neural Networks for Human Action Recognition
  10. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

Their papers