Jianxin Wang

Computer Vision and Pattern Recognition · with Sun · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianxin Wang trusts overall

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

  1. Karen Simonyan
  2. Kaiming He
  3. Christian Szegedy
  4. Andrew Zisserman
  5. Shaoqing Ren

Papers from Jianxin Wang's perspective

Ordered by how strongly the researchers Jianxin Wang 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. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers