Jamyoung Koo

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it

Whom Jamyoung Koo trusts overall

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

1. Ross B. Girshick
2. Zikun Liu
3. Lei Liu
4. Gui-Song Xia
5. Minghui Liao
6. Kaiming He
7. Xue Yang
8. Yingying Jiang
9. Jianqi Ma
10. Shaoqing Ren

Papers from Jamyoung Koo's perspective

Ordered by how strongly the researchers Jamyoung Koo 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. Going deeper with convolutions
4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
5. ImageNet: A large-scale hierarchical image database
6. Fast R-CNN
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative (2018) — 30 citations
• RBox-CNN: rotated bounding box based CNN for ship detection in remote sensing image (2018) — 29 citations