Haruki Imai
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Haruki Imai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Haruki Imai overall
Papers from Haruki Imai's perspective
Ordered by how strongly the researchers Haruki Imai 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Identity Mappings in Deep Residual Networks
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- TFLMS: Large Model Support in TensorFlow by Graph Rewriting (2018) — 55 citations