Jeonghwan Gwak

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #17,366 of 21,575 by trust here, #21,103 by citations
• Artificial Intelligence — 19 citations into it; #28,292 of 35,345 by trust here, #34,213 by citations
• Neurology — 14 citations into it; #871 of 1,455 by trust here, #1,413 by citations
• Model Architectures — 6 citations into it

Whom Jeonghwan Gwak trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Yoav Freund
7. Ilya Sutskever
8. Ross B. Girshick
9. Andrew Zisserman
10. Yoshua Bengio

Who trusts Jeonghwan Gwak overall

1. Mukhriddin Mukhiddinov
2. Akmalbek Bobomirzaevich Abdusalomov
3. T. Whangbo

Papers from Jeonghwan Gwak's perspective

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

Their papers

• MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers (2021) — 502 citations