Takehiro Kashiyama

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 109 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 10 citations into it

Whom Takehiro Kashiyama trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Christian Szegedy
4. Shaoqing Ren
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Joseph Redmon
8. Yann LeCun
9. Pedro F. Felzenszwalb
10. Jia Deng

Papers from Takehiro Kashiyama's perspective

Ordered by how strongly the researchers Takehiro Kashiyama 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. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Microsoft COCO: Common Objects in Context
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images (2018) — 827 citations