Sangwook Park

Computer Vision and Pattern Recognition · with Han · 2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #12,305 of 21,575 by trust here, #19,310 by citations
• Generative Models — 6 citations into it; #1,196 of 1,956 by trust here, #1,843 by citations

Whom Sangwook Park trusts overall

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

1. Augustus Odena
2. Alec Radford
3. Corinna Cortes
4. Zhedong Zheng
5. Tim Salimans
6. Vladimir Naumovich Vapnik
7. Geoffrey E. Hinton
8. Deepak Pathak
9. Alex Krizhevsky
10. Diederik P. Kingma

Who trusts Sangwook Park overall

1. Ekin Dogus Cubuk
2. Barret Zoph
3. Xiao Wang

Papers from Sangwook Park's perspective

Ordered by how strongly the researchers Sangwook Park trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Generative Adversarial Network Based Acoustic Scene Training Set Augmentation and Selection Using SVM Hyper-Plane (2017) — 139 citations
• Generative Adversarial Network Based Acoustic Scene Training Set Augmentation and Selection Using SVM Hyper-Plane (2017)