Jinze Li

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #13,747 of 21,575 by trust here, #8,612 by citations

Whom Jinze Li trusts overall

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

1. Joseph Redmon
2. Ross B. Girshick
3. Kaiming He
4. Shaoqing Ren

Who trusts Jinze Li overall

1. Juan R. Terven

Papers from Jinze Li's perspective

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

1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Microsoft COCO: Common Objects in Context
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (2019) — 5,129 citations