Hyeonjoon Moon

Computer Vision and Pattern Recognition · 1997–2020

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 119 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it; #2,988 of 21,575 by trust here, #3,017 by citations
• Artificial Intelligence — 47 citations into it
• Model Architectures — 5 citations into it; #2,065 of 2,278 by trust here, #2,078 by citations

Whom Hyeonjoon Moon trusts overall

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

1. Geoffrey E. Hinton
2. Sepp Hochreiter

Who trusts Hyeonjoon Moon overall

1. Shiguang Shan
2. Jiwen Lu
3. Ralph Gross
4. Joy Buolamwini
5. Ming-Hsuan Yang
6. Ce Liu
7. Jian Yang
8. Mehrtash Harandi
9. Inioluwa Deborah Raji
10. Simon Baker

Papers from Hyeonjoon Moon's perspective

Ordered by how strongly the researchers Hyeonjoon Moon 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
5. Efficient Estimation of Word Representations in Vector Space
6. GloVe: Global Vectors for Word Representation
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• The FERET evaluation methodology for face-recognition algorithms (1997)
• Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network (2018) — 225 citations
• Sensor-based and vision-based human activity recognition: A comprehensive survey (2020) — 652 citations
• A Survey on Internet of Things and Cloud Computing for Healthcare (2019) — 471 citations