Sachini Herath

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 8 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 Sachini Herath trusts overall

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

1. Kaiming He
2. Sepp Hochreiter
3. Josh Tenenbaum
4. J. Urgen Schmidhuber
5. Jürgen Sturm
6. X. Zhang
7. William T. Freeman
8. Geoffrey E. Hinton

Papers from Sachini Herath's perspective

Ordered by how strongly the researchers Sachini Herath trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, & New Methods (2019) — 392 citations