Blair R. Costelloe

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Blair R. Costelloe trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Jia Deng (in Computer Vision and Pattern Recognition)
  6. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Blair R. Costelloe's perspective

Ordered by how strongly the researchers Blair R. Costelloe 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. Long Short-Term Memory
  3. ImageNet: A large-scale hierarchical image database
  4. Et al
  5. GENERATIVE ADVERSARIAL NETS
  6. Fully convolutional networks for semantic segmentation
  7. ImageNet classification with deep convolutional neural networks
  8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  9. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  10. Gradient-based learning applied to document recognition

Their papers