Quanquan Li

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 834 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 140 citations into it; #8,050 of 21,575 by trust here, #4,623 by citations
• Artificial Intelligence — 85 citations into it; #20,791 of 35,345 by trust here, #10,798 by citations
• Model Architectures — 25 citations into it
• Efficiency & Compression — 17 citations into it
• Optimization & Training — 16 citations into it
• Evaluation & Benchmarks — 15 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Media Technology — 5 citations into it

Whom Quanquan Li trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. X. Zhang
7. Shaoqing Ren
8. Piotr Doll'ar
9. Ilya Sutskever
10. Yoshua Bengio

Who trusts Quanquan Li overall

1. Yifan Liu
2. Minsoo Kang
3. Xinlong Wang
4. Xizhou Zhu
5. Yi Wei
6. Zhengxia Zou
7. Changyong Shu
8. Ruoyu Sun
9. Haoran Zhao
10. Zhendong Yang

Papers from Quanquan Li's perspective

Ordered by how strongly the researchers Quanquan 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. 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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Equalization Loss for Long-Tailed Object Recognition (2020) — 556 citations
• Mimicking Very Efficient Network for Object Detection (2017) — 374 citations
• POI: Multiple Object Tracking with High Performance Detection and Appearance Feature (2016) — 475 citations
• Grid R-CNN (2018) — 495 citations
• 1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask (2020) — 19 citations
• Residual Knowledge Distillation (2020) — 32 citations