Sue Han Lee
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 75 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it
- Artificial Intelligence — 14 citations into it
Whom Sue Han Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew D. Zeiler
- Alex Krizhevsky
- Geoffrey E. Hinton
- Rob Fergus
- Ilya Sutskever
- Jeff Donahue
- Kaiming He
- Yangqing Jia
- Yann LeCun
- Neeraj Kumar
Who trusts Sue Han Lee overall
- Andreas Kamilaris
- Jana Wäldchen
- Muhammad Hammad Saleem
- Mathieu Carpentier
- M. Sardoğan
- Francesc X. Prenafeta-Boldu
- Ayesha Shafique
- Michael Rzanny
- Yu Li
- Chee Seng Chan
Papers from Sue Han Lee's perspective
Ordered by how strongly the researchers Sue Han Lee 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- How deep learning extracts and learns leaf features for plant classification (2017) — 525 citations
- Deep-plant: Plant identification with convolutional neural networks (2015) — 442 citations