Buyu Li

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 658 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 140 citations into it; #10,485 of 21,575 by trust here, #2,605 by citations
• Artificial Intelligence — 80 citations into it; #31,686 of 35,345 by trust here, #3,715 by citations
• Model Architectures — 26 citations into it
• Optimization & Training — 18 citations into it
• Aerospace Engineering — 17 citations into it; #3,723 of 6,421 by trust here, #1,520 by citations
• Evaluation & Benchmarks — 11 citations into it

Whom Buyu Li trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Tsung-Yi Lin
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Piotr Doll'ar
7. Karen Simonyan
8. Shaoqing Ren
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Buyu Li overall

1. Shaoshuai Shi
2. Li Jiang
3. Lixu Wang
4. Xiaogang Wang
5. Xingyi Zhou
6. Tianwei Yin
7. Zechen Liu
8. Xinyu Zhang
9. Hengduo Li
10. Han Zhang

Papers from Buyu Li's perspective

Ordered by how strongly the researchers Buyu 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. 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. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• MMDetection: Open MMLab Detection Toolbox and Benchmark (2019) — 3,471 citations
• Equalization Loss for Long-Tailed Object Recognition (2020) — 556 citations
• Grid R-CNN (2018) — 495 citations
• GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving (2019) — 351 citations
• Gradient Harmonized Single-stage Detector (2018) — 597 citations