Huiming Tang

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 Huiming Tang trusts

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

  1. L. Eon Bottou (in Artificial Intelligence)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Huiming Tang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
  3. Large-Scale Machine Learning with Stochastic Gradient Descent
  4. NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group
  7. Convolutional Pose Machines
  8. View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data
  9. View invariant human action recognition using histograms of 3D joints
  10. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Their papers