Forest Hughes

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Forest Hughes trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Forest Hughes's perspective

Ordered by how strongly the researchers Forest Hughes 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 Large Scale Visual Recognition Challenge
  3. Microsoft COCO: Common Objects in Context
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. Focal Loss for Dense Object Detection
  6. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  7. Learning to Label Aerial Images from Noisy Data
  8. ImageNet classification with deep convolutional neural networks
  9. Bag-of-visual-words and spatial extensions for land-use classification
  10. Machine Learning for Aerial Image Labeling

Their papers