Gukyeong Kwon

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 105 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it; #18,203 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 43 citations into it

Whom Gukyeong Kwon trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Ilya Sutskever
9. Karen Simonyan
10. Shaoqing Ren

Who trusts Gukyeong Kwon overall

1. Dogancan Temel

Papers from Gukyeong Kwon's perspective

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

Their papers

• X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks (2022) — 52 citations
• CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition (2017) — 81 citations