Hongzhi Li

Computer Vision and Pattern Recognition · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 161 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 21 citations into it
• Model Architectures — 7 citations into it

Whom Hongzhi Li trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Karen Simonyan
4. Shaoqing Ren
5. Alex Krizhevsky
6. Jia Deng
7. Geoffrey E. Hinton
8. Tsung-Yi Lin
9. Andrew Zisserman
10. X. Zhang

Papers from Hongzhi Li's perspective

Ordered by how strongly the researchers Hongzhi Li 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Gradient-based learning applied to document recognition
7. Microsoft COCO: Common Objects in Context
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Rethinking Classification and Localization for Object Detection (2019) — 620 citations