Martin Urschler

Computer Vision and Pattern Recognition · 2011–2020

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Urschler trusts

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

  1. Yann LeCun (in Computer Vision and Pattern Recognition)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  6. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  7. Trevor Darrell (in Computer Vision and Pattern Recognition)

Papers from Martin Urschler's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  3. ImageNet classification with deep convolutional neural networks
  4. Fast R-CNN
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
  7. Gradient-based learning applied to document recognition
  8. Learning Spatiotemporal Features with 3D Convolutional Networks
  9. ImageNet: A large-scale hierarchical image database
  10. Focal Loss for Dense Object Detection

Their papers