Xinxin Wang

Computer Vision and Pattern Recognition · with Chang · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xinxin Wang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. X. Zhang
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Piotr Doll'ar
  7. Shaoqing Ren
  8. Yann LeCun
  9. Yoshua Bengio
  10. Karen Simonyan

Who trusts Xinxin Wang overall

  1. Chien-Yao Wang
  2. Chuyin Li

Papers from Xinxin Wang's perspective

Ordered by how strongly the researchers Xinxin 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. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Going deeper with convolutions
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers