Z. Wang

Computer Vision and Pattern Recognition · with Dong · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Z. Wang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Shaoqing Ren
  4. Joseph Redmon
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Tsung-Yi Lin
  8. Yann LeCun

Papers from Z. Wang's perspective

Ordered by how strongly the researchers Z. Wang 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. Gradient-based learning applied to document recognition
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Fully convolutional networks for semantic segmentation
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers