Qizhu Li

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 893 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 86 citations into it; #6,991 of 21,575 by trust here, #10,154 by citations
• Artificial Intelligence — 34 citations into it
• Model Architectures — 15 citations into it

Whom Qizhu Li trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Shaoqing Ren
7. Andrew Zisserman
8. Yann LeCun
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Qizhu Li overall

1. Yanwei Li
2. Huiyu Wang
3. Hengshuang Zhao
4. Liang-Chieh Chen
5. Rohit Mohan
6. Xiaojuan Qi
7. Wenwei Zhang
8. Qiang Chen
9. Jie Li
10. Yuwen Xiong

Papers from Qizhu Li's perspective

Ordered by how strongly the researchers Qizhu Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Unifying Training and Inference for Panoptic Segmentation (2020) — 70 citations
• Weakly- and Semi-Supervised Panoptic Segmentation (2018) — 169 citations