Naoki Mihara
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it
Whom Naoki Mihara trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- X. Zhang (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
Papers from Naoki Mihara's perspective
Ordered by how strongly the researchers Naoki Mihara 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)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Rethinking the Inception Architecture for Computer Vision
- Improved Techniques for Training GANs
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks