Hirokazu Watanabe
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 Hirokazu Watanabe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hirokazu Watanabe's perspective
Ordered by how strongly the researchers Hirokazu Watanabe 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)
- Gradient-based learning applied to document recognition
- Rethinking the Inception Architecture for Computer Vision
- Improved Techniques for Training GANs