Wugen Zhou

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wugen Zhou trusts overall

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

  1. Anastasios I. Mourikis
  2. Tong Qin
  3. Mingyang Li
  4. Zachary Teed
  5. Michael Bloesch
  6. Sen Wang
  7. Christian Forster
  8. Stefan Leutenegger
  9. Tinghui Zhou
  10. Kyunghyun Cho

Papers from Wugen Zhou's perspective

Ordered by how strongly the researchers Wugen Zhou 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers