Cheng Jin

Computer Vision and Pattern Recognition · with Chanussot · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cheng Jin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Lucien Wald
  2. Luciano Alparone
  3. Mark J. Shensa
  4. Bruno Aiazzi
  5. Andrea Garzelli
  6. Gemine Vivone
  7. Kaiming He

Papers from Cheng Jin's perspective

Ordered by how strongly the researchers Cheng Jin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods (IEEE Transactions on Geoscience and Remote Sensing)
  3. Data Fusion. Definitions and Architectures - Fusion of Images of Different Spatial Resolutions
  4. Optimal MMSE Pan Sharpening of Very High Resolution Multispectral Images (IEEE Transactions on Geoscience and Remote Sensing)
  5. Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis (IEEE Transactions on Geoscience and Remote Sensing)
  6. A New Adaptive Component-Substitution-Based Satellite Image Fusion by Using Partial Replacement (IEEE Transactions on Geoscience and Remote Sensing)
  7. Image Super-Resolution Using Deep Convolutional Networks
  8. Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest (IEEE Transactions on Geoscience and Remote Sensing)
  9. The Laplacian Pyramid as a Compact Image Code
  10. MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery

Their papers