Sunjeong Park
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it; #14,313 of 21,575 by trust here, #13,542 by citations
Whom Sunjeong Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sunjeong Park overall
Papers from Sunjeong Park's perspective
Ordered by how strongly the researchers Sunjeong Park trusts endorse each paper. Same corpus, a different order for every researcher.
- Improving neural networks by preventing co-adaptation of feature detectors
- Visualizing Data using t-SNE
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A Spatio-Temporal Descriptor Based on 3D-Gradients
- Gradient-based learning applied to document recognition
- The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops)
- Attention is All you Need (Neural Information Processing Systems)
- Supervised Descent Method and Its Applications to Face Alignment
- Long Short-Term Memory
Their papers
- Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition (2015) — 676 citations