Song Wen

Computer Vision and Pattern Recognition · with Zhang · 2023

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 Song Wen 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)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Song Wen's perspective

Ordered by how strongly the researchers Song Wen 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. Matching Networks for One Shot Learning
  4. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Im2Text: Describing Images Using 1 Million Captioned Photographs
  9. Gradient-based learning applied to document recognition
  10. Microsoft COCO Captions: Data Collection and Evaluation Server

Their papers