Hyeran Byun

Computer Vision and Pattern Recognition · 2002–2020

A researcher in the Science corpus: 3 papers; trusts 403 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #9,411 of 21,575 by trust here, #14,822 by citations
• Artificial Intelligence — 20 citations into it; #14,638 of 35,345 by trust here, #23,077 by citations
• Evaluation & Benchmarks — 5 citations into it
• Generative Models — 5 citations into it
• Media Technology — 5 citations into it

Whom Hyeran Byun trusts overall

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

1. Vladimir Naumovich Vapnik
2. Vladimir Naumovich Vapni
3. Kaiming He
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Andrew Zisserman
8. Yoshua Bengio
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Hyeran Byun overall

1. Luke Melas-Kyriazi
2. Lukas Hoyer
3. Dengxin Dai
4. Christos Sakaridis
5. Jiahua Dong
6. Luc Van Gool
7. Arjun K. Manrai
8. Sicheng Zhao
9. Ji-chao Li
10. Yulan Liang

Papers from Hyeran Byun's perspective

Ordered by how strongly the researchers Hyeran Byun 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. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation (2020) — 309 citations
• Real-time traffic sign recognition based on a general purpose GPU and deep-learning (2017) — 79 citations
• Applications of Support Vector Machines for Pattern Recognition: A Survey (2002) — 395 citations