Hugo Ledoux

Environmental Engineering · 2015–2021

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hugo Ledoux trusts overall

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

  1. Paolo Cignoni
  2. Ruben Michaël Smelik
  3. Pascal Müller
  4. Peter Wonka
  5. Massimiliano Corsini
  6. Thomas H. Kolbe

Papers from Hugo Ledoux's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Indoor Segmentation and Support Inference from RGBD Images
  3. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  4. Are we ready for autonomous driving? The KITTI vision benchmark suite
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Random Forests
  7. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
  8. SUN RGB-D: A RGB-D scene understanding benchmark suite
  9. ImageNet classification with deep convolutional neural networks
  10. 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks (2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition)

Their papers