Xudong Kang
Media Technology · 2013–2020
A researcher in the Science corpus: 8 papers; trusts 196 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 173 citations into it; #327 of 3,621 by trust here, #310 by citations
- Computer Vision and Pattern Recognition — 146 citations into it; #5,221 of 21,575 by trust here, #8,205 by citations
- Atmospheric Science — 59 citations into it; #1,354 of 4,804 by trust here, #2,390 by citations
- Analytical Chemistry — 27 citations into it
- Biomedical Engineering — 22 citations into it
- Artificial Intelligence — 20 citations into it
- Aerospace Engineering — 18 citations into it; #3,753 of 6,421 by trust here, #2,509 by citations
- Computational Mechanics — 15 citations into it
Whom Xudong Kang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jon Atli Benediktsson
- Shutao Li
- Chih-Jen Lin
- Kaiming He
- Yuliya Tarabalka
- Eduardo Simoes Lopes Gastal
- Bin Yang
- Wei Li
- Carlo Tomasi
- Farid Melgani
Who trusts Xudong Kang overall
Papers from Xudong Kang's perspective
Ordered by how strongly the researchers Xudong Kang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox (2020) — 480 citations
- Pixel-level image fusion: A survey of the state of the art (2017) — 1,186 citations
- Hyperspectral Anomaly Detection With Attribute and Edge-Preserving Filters (2017) — 358 citations
- PCA-Based Edge-Preserving Features for Hyperspectral Image Classification (2017) — 335 citations
- Spectral–Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation (2014) — 300 citations
- Spectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering (2014) — 671 citations
- Image Fusion With Guided Filtering (2013) — 1,641 citations
- Image matting for fusion of multi-focus images in dynamic scenes (2013) — 298 citations