J. Hipp

Computer Vision and Pattern Recognition · with Stumpe · 2017–2019

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

Subfields

Whom J. Hipp trusts overall

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

  1. Geoffrey E. Hinton
  2. L. V. D. van der Maaten

Who trusts J. Hipp overall

  1. Eric J. Topol

Papers from J. Hipp's perspective

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

  1. Going deeper with convolutions
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. ImageNet classification with deep convolutional neural networks
  5. Fully convolutional networks for semantic segmentation
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  8. Gradient-based learning applied to document recognition
  9. Visualizing Data using t-SNE
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers