Kaoru Hiramatsu

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 256 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it; #16,988 of 21,575 by trust here, #17,258 by citations
• Generative Models — 26 citations into it; #1,225 of 1,956 by trust here, #1,315 by citations
• Artificial Intelligence — 25 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 5 citations into it

Whom Kaoru Hiramatsu trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Ilya Sutskever
7. Kaiming He
8. Jimmy Ba
9. Sergey Ioffe
10. Ruslan Salakhutdinov

Who trusts Kaoru Hiramatsu overall

1. Ke Li
2. Ayush Jaiswal
3. Avisek Lahiri
4. Ryohei Suzuki
5. Zhenliang He

Papers from Kaoru Hiramatsu's perspective

Ordered by how strongly the researchers Kaoru Hiramatsu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks (2017) — 95 citations
• Generative adversarial network-based postfilter for statistical parametric speech synthesis (2016) — 128 citations