Sang Cheol Kim

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Plant Science — 7 citations into it; #5,127 of 8,232 by trust here, #3,226 by citations

Whom Sang Cheol Kim trusts overall

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

1. David G. Lowe
2. Robert E. Schapire
3. Kaiming He
4. Navneet Dalal
5. Shaoqing Ren
6. Christian Szegedy
7. Ross B. Girshick
8. Corinna Cortes
9. David P. Hughes
10. Jifeng Dai

Who trusts Sang Cheol Kim overall

1. Yu Jiang

Papers from Sang Cheol Kim's perspective

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

1. Going deeper with convolutions
2. ImageNet Large Scale Visual Recognition Challenge
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Histograms of oriented gradients for human detection
6. Distinctive Image Features from Scale-Invariant Keypoints
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition (2017) — 1,358 citations