M. Trope

Computer Vision and Pattern Recognition · 2017

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

Subfields

Whom M. Trope trusts

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

  1. Tao Ju (in Computational Mechanics)

Who trusts M. Trope

  1. M. Ovsjanikov (in Computational Mechanics)

Papers from M. Trope's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Fully convolutional networks for semantic segmentation
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Spectral Networks and Locally Connected Networks on Graphs
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers