Moon Gi Kang
2003
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Whom Moon Gi Kang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Moon Gi Kang overall
Papers from Moon Gi Kang's perspective
Ordered by how strongly the researchers Moon Gi Kang trusts endorse each paper. Same corpus, a different order for every researcher.
- A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur (21st IEEE Convention of the Electrical and Electronic Engineers in Israel. Proceedings (Cat. No.00EX377))
- Super-resolution from image sequences-a review
- A computationally efficient superresolution image reconstruction algorithm (IEEE Transactions on Image Processing)
- A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines
- Iterative methods for sparse linear systems
- The Design and Use of Steerable Filters
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Perceptual Losses for Real-Time Style Transfer and Super-Resolution
- GENERATIVE ADVERSARIAL NETS
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Their papers
- Super-resolution image reconstruction: a technical overview (2003) — 3,587 citations