Hongjie Zhang

Computer Vision and Pattern Recognition · with Wang · 2022–2024

A researcher in the Science corpus: 2 papers; trusts 169 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongjie Zhang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Andrew Zisserman
  5. Ross B. Girshick
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. João Carreira
  9. Yann LeCun
  10. Karen Simonyan

Papers from Hongjie Zhang's perspective

Ordered by how strongly the researchers Hongjie Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Long Short-Term Memory
  8. Microsoft COCO: Common Objects in Context
  9. Gradient-based learning applied to document recognition
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers