Seohyung Lee

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Artificial Intelligence — 39 citations into it
• Efficiency & Compression — 24 citations into it
• Model Architectures — 7 citations into it

Whom Seohyung Lee trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ross B. Girshick
6. X. Zhang
7. Shaoqing Ren
8. Ilya Sutskever
9. Karen Simonyan
10. Yann LeCun

Who trusts Seohyung Lee overall

1. Steven K. Esser

Papers from Seohyung Lee's perspective

Ordered by how strongly the researchers Seohyung Lee 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. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss (2018) — 430 citations
• Joint Training of Low-Precision Neural Network with Quantization Interval Parameters (2018) — 36 citations