Jinwang Wang

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 450 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinwang Wang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Shaoqing Ren
  4. Tsung-Yi Lin
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Andrew Zisserman
  9. X. Zhang
  10. Piotr Doll'ar

Who trusts Jinwang Wang overall

  1. Gong Cheng
  2. Hao Zhang
  3. Xiang Yuan
  4. Yin Zhang
  5. Ziping Yu
  6. Xiwen Yao
  7. Chang Xu
  8. Cong Xu
  9. Ke Yan
  10. Mu Ye

Papers from Jinwang Wang's perspective

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

Their papers