Zhida Huang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhida Huang trusts overall

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

  1. Anish Mittal
  2. Yi Sun
  3. Patrick Grother

Papers from Zhida Huang's perspective

Ordered by how strongly the researchers Zhida Huang 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. Going deeper with convolutions
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
  8. FaceNet: A unified embedding for face recognition and clustering
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers