Ko Sugawara

Computer Vision and Pattern Recognition · 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 Ko Sugawara trusts overall

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

  1. Álvaro González
  2. Kaiming He

Papers from Ko Sugawara's perspective

Ordered by how strongly the researchers Ko Sugawara 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. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  3. Mask R-CNN
  4. TensorFlow: A system for large-scale machine learning
  5. You Only Look Once: Unified, Real-Time Object Detection
  6. ImageNet classification with deep convolutional neural networks
  7. SciPy: Open Source Scientific Tools for Python
  8. Graph Cuts and Efficient N-D Image Segmentation (International Journal of Computer Vision)
  9. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
  10. Gradient-based learning applied to document recognition

Their papers