Zhen Jia

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 3 papers; trusts 71 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhen Jia trusts overall

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

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

Papers from Zhen Jia's perspective

Ordered by how strongly the researchers Zhen Jia 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. ImageNet classification with deep convolutional neural networks
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Microsoft COCO: Common Objects in Context
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers