Jing Li

Computer Vision and Pattern Recognition · with Zhang · 2019

A researcher in the Science corpus: 1 paper; trusts 148 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #7,899 of 21,575 by trust here, #5,375 by citations
• Artificial Intelligence — 15 citations into it; #13,440 of 35,345 by trust here, #7,471 by citations
• Evaluation & Benchmarks — 12 citations into it; #1,282 of 3,147 by trust here, #1,088 by citations

Whom Jing Li trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Jia Deng
4. Shaoqing Ren
5. Alex Krizhevsky
6. Geoffrey E. Hinton

Who trusts Jing Li overall

1. Jianfeng Gao
2. Jianwei Yang
3. Lijuan Wang
4. Weicheng Kuo
5. Tsung-Yi Lin
6. Lei Zhang
7. Yin Cui
8. Xingyi Zhou
9. Zicheng Liu
10. Pengchuan Zhang

Papers from Jing Li's perspective

Ordered by how strongly the researchers Jing 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: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Microsoft COCO: Common Objects in Context
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Objects365: A Large-Scale, High-Quality Dataset for Object Detection (2019) — 1,074 citations