Seonwook Park

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Human-Computer Interaction — 29 citations into it
• Control and Systems Engineering — 15 citations into it
• 3D Vision & Pose — 8 citations into it
• Artificial Intelligence — 8 citations into it

Whom Seonwook Park trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. X. Zhang
5. Alex Krizhevsky
6. Yann LeCun
7. Jimmy Ba
8. Shaoqing Ren
9. Yoshua Bengio
10. Adrian Bulat

Papers from Seonwook Park's perspective

Ordered by how strongly the researchers Seonwook Park 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. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Et al
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Cross-Modal Deep Variational Hand Pose Estimation (2018) — 309 citations
• ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation (2020) — 362 citations