Toshihiko Matsuura
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 252 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it; #14,351 of 21,575 by trust here, #15,162 by citations
- Artificial Intelligence — 18 citations into it; #23,213 of 35,345 by trust here, #23,077 by citations
- Representation & Self-Supervised Learning — 14 citations into it
- Radiology, Nuclear Medicine and Imaging — 5 citations into it
Whom Toshihiko Matsuura trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Individualized Treat
- Da Li
- L. V. D. van der Maaten
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Toshihiko Matsuura overall
- Hyeonseob Nam
- Kaiyang Zhou
- Quande Liu
- Zijian Wang
- Seonguk Seo
- Xingxuan Zhang
- Kartik Ahuja
- Hyunjae Lee
- Ziwei Liu
- Cheng Chen
Papers from Toshihiko Matsuura's perspective
Ordered by how strongly the researchers Toshihiko Matsuura trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Domain Generalization Using a Mixture of Multiple Latent Domains (2019) — 357 citations