Jian Huang

Computer Vision and Pattern Recognition · with Ding · 2024

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

Subfields

Whom Jian Huang trusts overall

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

  1. Chien-Yao Wang
  2. Joseph Redmon
  3. Kaiming He
  4. Ross B. Girshick
  5. Tsung-Yi Lin
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton

Papers from Jian Huang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Microsoft COCO: Common Objects in Context
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Going deeper with convolutions
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers