Zhengzhong Tu

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 6 papers; trusts 742 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Zhengzhong Tu trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Ross B. Girshick
  6. A. Bovik
  7. Yoshua Bengio
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Zhengzhong Tu overall

  1. Runsheng Xu
  2. Haoning Wu
  3. Hao Xiang
  4. Yanyu Li
  5. Ali Hassani
  6. Chien-Yao Wang
  7. Md Mostafijur Rahman
  8. Zheng Chen
  9. Weihao Yu
  10. Liangyu Chen

Papers from Zhengzhong Tu's perspective

Ordered by how strongly the researchers Zhengzhong Tu 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  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