Houet Thomas

Science of Remote Sensing · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Houet Thomas trusts

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

  1. Jonathan Long (in Computer Vision and Pattern Recognition)
  2. Evan Shelhamer (in Computer Vision and Pattern Recognition)
  3. Trevor Darrell (in Computer Vision and Pattern Recognition)

Papers from Houet Thomas's perspective

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

  1. Fully convolutional networks for semantic segmentation
  2. LSTM Fully Convolutional Networks for Time Series Classification (IEEE Access)
  3. Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture (Remote Sensing)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet classification with deep convolutional neural networks
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers