R. Nishii

Computer Vision and Pattern Recognition · 2018

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

Subfields

Whom R. Nishii trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from R. Nishii's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Going deeper with convolutions
  4. Fully Convolutional Networks for Semantic Segmentation
  5. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
  6. Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery
  7. Reconsidering plant memory: Intersections between stress recovery, RNA turnover, and epigenetics (Science Advances)
  8. Deep machine learning provides state-of-the-art performance in image-based plant phenotyping
  9. Translating High-Throughput Phenotyping into Genetic Gain (Trends in Plant Science)
  10. Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives (Frontiers in Plant Science)

Their papers