Song-Mi Lee

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it; #17,760 of 21,575 by trust here, #18,266 by citations

Whom Song-Mi Lee trusts overall

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

1. Diederik P. Kingma
2. Wenchao Jiang
3. Nils Y. Hammerla
4. Jianbo Yang
5. Stefan Dernbach
6. Jimmy Ba
7. Zhaozheng Yin
8. Shane Halloran
9. Minh Nhut Nguyen
10. Barnan Das

Who trusts Song-Mi Lee overall

1. Sakorn Mekruksavanich
2. Qiongfeng Shi
3. Anuchit Jitpattanakul
4. Bowei Dong

Papers from Song-Mi Lee's perspective

Ordered by how strongly the researchers Song-Mi Lee trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Human activity recognition from accelerometer data using Convolutional Neural Network (2017) — 356 citations