Guiguang Ding

Computer Vision and Pattern Recognition · with Chu · 2020

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

Subfields

Whom Guiguang Ding trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Guiguang Ding's perspective

Ordered by how strongly the researchers Guiguang Ding 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Densely Connected Convolutional Networks
  4. Aggregated Residual Transformations for Deep Neural Networks
  5. SGDR: Stochastic Gradient Descent with Warm Restarts
  6. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  7. mixup: Beyond Empirical Risk Minimization
  8. MobileNetV2: Inverted Residuals and Linear Bottlenecks
  9. MnasNet: Platform-Aware Neural Architecture Search for Mobile
  10. A Closer Look at Spatiotemporal Convolutions for Action Recognition

Their papers