Sangseung Lee

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Computational Mechanics — 9 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Sangseung Lee trusts overall

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

1. Shervin Bagheri
2. T. Y. Wu
3. Peter J. Schmid
4. Xiaoxiao Guo
5. Jeremy Morton
6. Ashia C. Wilson
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. P. Ecole
10. Xiaohua Wu

Who trusts Sangseung Lee overall

1. Kai Fukami

Papers from Sangseung Lee's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Data-driven prediction of unsteady flow over a circular cylinder using deep learning (2018) — 317 citations