Jian Cheng

Computer Vision and Pattern Recognition · with Wang · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 148 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jian Cheng trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Tsung-Yi Lin
  6. Christian Szegedy
  7. Sergey Ioffe
  8. Yann LeCun
  9. Yoshua Bengio
  10. Pedro F. Felzenszwalb

Papers from Jian Cheng's perspective

Ordered by how strongly the researchers Jian Cheng 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. Attention is All you Need (Neural Information Processing Systems)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Gradient-based learning applied to document recognition
  7. Microsoft COCO: Common Objects in Context
  8. ImageNet: A large-scale hierarchical image database
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers