Yujie Zhong

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yujie Zhong trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Tsung-Yi Lin
  4. Jia Deng
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Chenchen Zhu
  8. Yann LeCun
  9. Piotr Doll'ar
  10. Shaoqing Ren

Who trusts Yujie Zhong overall

  1. Juan R. Terven
  2. Chien-Yao Wang
  3. Ajantha Vijayakumar
  4. Diana-Margarita Córdova-Esparza

Papers from Yujie Zhong's perspective

Ordered by how strongly the researchers Yujie Zhong 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Microsoft COCO: Common Objects in Context
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers