Makoto Ogawa
ACM Multimedia · 2014
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Makoto Ogawa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Makoto Ogawa overall
Papers from Makoto Ogawa's perspective
Ordered by how strongly the researchers Makoto Ogawa trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Linear spatial pyramid matching using sparse coding for image classification
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Food Detection and Recognition Using Convolutional Neural Network (2014) — 295 citations