Byunggook Na

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Artificial Intelligence — 10 citations into it
• Cognitive Neuroscience — 9 citations into it
• Efficiency & Compression — 8 citations into it

Whom Byunggook Na trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Peter U. Diehl
4. Wolfgang Maass
5. Shaoqing Ren
6. Mark A. Horowitz
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Yoshua Bengio
10. Joseph Redmon

Papers from Byunggook Na's perspective

Ordered by how strongly the researchers Byunggook Na 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection (2019) — 538 citations