Anjing Guo
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 23 citations into it
- Media Technology — 21 citations into it
Whom Anjing Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Anjing Guo's perspective
Ordered by how strongly the researchers Anjing Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest (IEEE Transactions on Geoscience and Remote Sensing)
- Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation (IEEE Transactions on Geoscience and Remote Sensing)
- Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion (IEEE Transactions on Geoscience and Remote Sensing)
- A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization (IEEE Transactions on Geoscience and Remote Sensing)
- Sparse Unmixing of Hyperspectral Data (IEEE Transactions on Geoscience and Remote Sensing)
- Deep Convolutional Neural Network for Image Deconvolution
- Hyperspectral Image Super-Resolution via Non-local Sparse Tensor Factorization (Computer Vision and Pattern Recognition)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Deep Hyperspectral Image Sharpening (2018) — 360 citations