David H. Liang

Nature · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom David H. Liang trusts

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

  1. Philippe Huber (in Statistics and Probability)

Papers from David H. Liang's perspective

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

  1. ImageNet Large Scale Visual Recognition Challenge
  2. Rethinking the Inception Architecture for Computer Vision
  3. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  4. Learning Spatiotemporal Features with 3D Convolutional Networks
  5. TensorFlow: A system for large-scale machine learning
  6. Focal Loss for Dense Object Detection
  7. Learning a Deep Convolutional Network for Image Super-Resolution
  8. Rethinking Atrous Convolution for Semantic Image Segmentation
  9. Robust Estimation of a Location Parameter
  10. A Closer Look at Spatiotemporal Convolutions for Action Recognition

Their papers