Sz-Rung Shiang

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Sz-Rung Shiang trusts overall

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

  1. Ross B. Girshick
  2. Shaoqing Ren
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Ruslan Salakhutdinov

Who trusts Sz-Rung Shiang overall

  1. Felix Stahlberg
  2. Jean-Benoit Delbrouck
  3. Iacer Calixto

Papers from Sz-Rung Shiang's perspective

Ordered by how strongly the researchers Sz-Rung Shiang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers