Kang-jik Kim

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 312 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #10,698 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 21 citations into it

Whom Kang-jik Kim trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Tsung-Yi Lin
5. Geoffrey E. Hinton
6. Karen Simonyan
7. Shaoqing Ren
8. Yann LeCun
9. Christian Szegedy
10. Ilya Sutskever

Who trusts Kang-jik Kim overall

1. Wentong Li
2. Chien-Yao Wang
3. Chengjian Feng
4. Qiang Chen
5. Xiang-Yang Li
6. Yi-Fan Zhang
7. Liyang Liu
8. Jianke Zhu
9. Alexey Bochkovskiy
10. Zheng Ge

Papers from Kang-jik Kim's perspective

Ordered by how strongly the researchers Kang-jik Kim 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Probabilistic Anchor Assignment with IoU Prediction for Object Detection (2020) — 501 citations