Daniel Riordan

Computer Vision and Pattern Recognition · 2019

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

Subfields

Whom Daniel Riordan trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Daniel Riordan's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Learning Spatiotemporal Features with 3D Convolutional Networks
  4. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  5. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection (2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition)
  6. Teaching 3D geometry to deformable part models
  7. Dataset Augmentation in Feature Space
  8. Machine Learning for High-Speed Corner Detection (European Conference on Computer Vision)
  9. Scene Understanding by Reasoning Stability and Safety
  10. Deep learning for smart manufacturing: Methods and applications (Journal of manufacturing systems)

Their papers