Jun Long

Computer Vision and Pattern Recognition · with Huo · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Long trusts

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

  1. François Chollet (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Jun Long's perspective

Ordered by how strongly the researchers Jun Long trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Layer Normalization
  3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Aggregated Residual Transformations for Deep Neural Networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  8. Xception: Deep Learning with Depthwise Separable Convolutions
  9. End-to-End Object Detection with Transformers (European Conference on Computer Vision)
  10. Gradient-based learning applied to document recognition

Their papers