Kaibing Zhang

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 3 papers; trusts 76 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Kaibing Zhang trusts overall

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

  1. Michael Elad
  2. Zhou Wang
  3. Weisheng Dong
  4. Hiroyuki Takeda
  5. Lei Zhang
  6. Sina Farsiu
  7. A. Buades
  8. Roman Zeyde
  9. Raanan Fattal
  10. Hong Chang

Who trusts Kaibing Zhang overall

  1. Kamal Nasrollahi
  2. Subeesh Vasu
  3. Yulun Zhang
  4. Haoyu Ren
  5. Thomas Baltzer Moeslund
  6. Jie Liu
  7. Tao Dai
  8. Z. Li
  9. Thekke Madam Nimisha
  10. Yapeng Tian

Papers from Kaibing Zhang's perspective

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

Their papers