Eunwoo Kim

Computer Vision and Pattern Recognition · with Choi · 2015

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Eunwoo Kim trusts overall

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

1. Qifa Ke
2. E.J. Candes
3. Zhouchen Lin
4. Yuan Shen
5. Chris H. Q. Ding
6. Ji Liu
7. Ralph Gross
8. Yinqiang Zheng
9. Yi Ma
10. Takeo Kanade

Papers from Eunwoo Kim's perspective

Ordered by how strongly the researchers Eunwoo Kim 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. Gradient-based learning applied to document recognition
4. Robust principal component analysis?
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Tensor Completion for Estimating Missing Values in Visual Data
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Efficient $l_{1}$ -Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method (2015) — 46 citations