Giorgio A. Licciardi
Media Technology · 2012–2018
A researcher in the Science corpus: 5 papers; trusts 22 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 74 citations into it; #1,570 of 3,621 by trust here, #633 by citations
- Computer Vision and Pattern Recognition — 68 citations into it; #12,732 of 21,575 by trust here, #8,502 by citations
- Analytical Chemistry — 9 citations into it
- Atmospheric Science — 9 citations into it
- Signal Processing — 5 citations into it
Whom Giorgio A. Licciardi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jon Atli Benediktsson
- Mark A. Kramer
- Antonio J. Plaza
- Martino Pesaresi
- Christian Jutten
- Luciano Alparone
- Lucien Wald
- Stéphane Mallat
- José M. Bioucas-Dias
- Shen-En Qian
Who trusts Giorgio A. Licciardi overall
- Guangrui Zhao
- Rob Heylen
- Xudong Kang
- Yushi Chen
- Sen Jia
- Lucas Prado Osco
- Shutao Li
- Mario Parente
- Yuhui Zheng
- Gemine Vivone
Papers from Giorgio A. Licciardi's perspective
Ordered by how strongly the researchers Giorgio A. Licciardi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- A wavelet tour of signal processing
- Neural Networks for Pattern Recognition
- Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods (IEEE Transactions on Geoscience and Remote Sensing)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Classification of hyperspectral data from urban areas based on extended morphological profiles (IEEE Transactions on Geoscience and Remote Sensing)
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
Their papers
- Noise Reduction in Hyperspectral Imagery: Overview and Application (2018) — 332 citations
- A Critical Comparison Among Pansharpening Algorithms (2015) — 1,223 citations
- Hyperspectral Pansharpening: A Review (2015) — 778 citations
- Contrast and Error-Based Fusion Schemes for Multispectral Image Pansharpening (2014) — 365 citations
- Linear Versus Nonlinear PCA for the Classification of Hyperspectral Data Based on the Extended Morphological Profiles (2012) — 362 citations