Minghao Chen

Computer Vision and Pattern Recognition · with Karaev · 2025

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minghao Chen trusts overall

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

  1. Johannes L. Schönberger
  2. Zachary Teed
  3. Jia Deng
  4. Chengzhou Tang
  5. David G. Lowe
  6. Geoffrey E. Hinton
  7. Kaiming He
  8. René Ranftl
  9. Alex Krizhevsky
  10. Ashish Vaswani

Papers from Minghao Chen's perspective

Ordered by how strongly the researchers Minghao 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers