Richard E. L. Higgins

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Richard E. L. Higgins trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  5. Jitendra Malik (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  8. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  9. Karen Simonyan (in Computer Vision and Pattern Recognition)
  10. David G. Lowe (in Computer Vision and Pattern Recognition)

Papers from Richard E. L. Higgins's perspective

Ordered by how strongly the researchers Richard E. L. Higgins trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Microsoft COCO: Common Objects in Context
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. The Cityscapes Dataset for Semantic Urban Scene Understanding
  4. ImageNet classification with deep convolutional neural networks
  5. Are we ready for autonomous driving? The KITTI vision benchmark suite
  6. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
  7. A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
  8. Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
  9. LVIS: A Dataset for Large Vocabulary Instance Segmentation
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers