Chenying Liu
Media Technology · 2018
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 31 citations into it
- Atmospheric Science — 22 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Analytical Chemistry — 8 citations into it
Whom Chenying Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Chenying Liu's perspective
Ordered by how strongly the researchers Chenying Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Classification of hyperspectral data from urban areas based on extended morphological profiles (IEEE Transactions on Geoscience and Remote Sensing)
- ImageNet classification with deep convolutional neural networks
- Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles (IEEE Transactions on Geoscience and Remote Sensing)
- Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach (IEEE Transactions on Geoscience and Remote Sensing)
- Advances in Spectral-Spatial Classification of Hyperspectral Images (Proceedings of the IEEE)
- Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques (IEEE Transactions on Geoscience and Remote Sensing)
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
- Hyperspectral Remote Sensing Data Analysis and Future Challenges (IEEE Geoscience and Remote Sensing Magazine)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)