S. Chappuis

Computer Vision and Pattern Recognition · 2020

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

Subfields

Whom S. Chappuis trusts overall

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

  1. Charles Ruizhongtai Qi

Papers from S. Chappuis's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Microsoft COCO: Common Objects in Context
  3. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  4. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  7. SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels
  8. ImageNet classification with deep convolutional neural networks
  9. SPLATNet: Sparse Lattice Networks for Point Cloud Processing
  10. Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark (arXiv.org)

Their papers