Jun-Juan Zhu

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 4 papers; trusts 340 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun-Juan Zhu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Tsung-Yi Lin
  4. Shaoqing Ren
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Yann LeCun
  10. X. Zhang

Papers from Jun-Juan Zhu's perspective

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

Their papers