Yuichiro Hirano

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Yuichiro Hirano trusts overall

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

1. Ning Qian
2. Karen Simonyan

Papers from Yuichiro Hirano's perspective

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

1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. SSD: Single Shot MultiBox Detector
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Chainer : a Next-Generation Open Source Framework for Deep Learning
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning (2020) — 236 citations