Dana Michalski

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dana Michalski trusts overall

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

  1. Jai Prakash Verma
  2. P. Jonathon Phillips
  3. K. Smith‐Miles
  4. Narayanan Ramanathan
  5. Mei Ngan
  6. Patrick J. Flynn
  7. Filareti Tsalakanidou
  8. Ahmed M. Megreya
  9. Anil K. Jain
  10. Andy Field

Who trusts Dana Michalski overall

  1. Carsten Schwemmer

Papers from Dana Michalski's perspective

Ordered by how strongly the researchers Dana Michalski 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. ImageNet classification with deep convolutional neural networks
  3. Going deeper with convolutions
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers