Sung Yong Shin

Computer Vision and Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #8,230 of 21,575 by trust here, #14,822 by citations
• Computer Graphics and Computer-Aided Design — 7 citations into it; #489 of 1,584 by trust here, #929 by citations
• Computational Mechanics — 5 citations into it; #3,045 of 10,001 by trust here, #5,350 by citations

Whom Sung Yong Shin trusts overall

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

1. Alexei A. Efros
2. Michael Ashikhmin
3. Ian T. Jolliffe
4. Li-Yi Wei
5. Javier Portilla

Who trusts Sung Yong Shin overall

1. Nicolas Manfred Otto Heess
2. Tsung-Yu Lin
3. Delbert Dueck
4. Mona Mahmoudi
5. S. Dabo‐Niang

Papers from Sung Yong Shin's perspective

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

1. Texture synthesis by non-parametric sampling
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Fast texture synthesis using tree-structured vector quantization (International Conference on Computer Graphics and Interactive Techniques)
5. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Image quilting for texture synthesis and transfer
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• On pixel-based texture synthesis by non-parametric sampling (2006) — 695 citations