Min-Hung Chen

Computer Vision and Pattern Recognition · with Wang · 2024

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Min-Hung Chen trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  9. Jitendra Malik (in Computer Vision and Pattern Recognition)
  10. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Min-Hung Chen's perspective

Ordered by how strongly the researchers Min-Hung Chen 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  8. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers