James Henrydoss

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom James Henrydoss trusts

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

  1. Terrance E. Boult (in Artificial Intelligence)
  2. Walter J. Scheirer (in Artificial Intelligence)
  3. Lalit P. Jain (in Artificial Intelligence)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  5. Abhijit Bendale (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from James Henrydoss's perspective

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

  1. Microsoft COCO: Common Objects in Context
  2. Intriguing properties of neural networks
  3. ImageNet classification with deep convolutional neural networks
  4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  5. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Fast R-CNN
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. SSD: Single Shot MultiBox Detector

Their papers