Ming Sun
Computer Vision and Pattern Recognition · with Li · 2018–2021
A researcher in the Science corpus: 6 papers; trusts 879 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 190 citations into it; #15,883 of 21,575 by trust here, #7,938 by citations
- Artificial Intelligence — 134 citations into it; #35,173 of 35,345 by trust here, #16,471 by citations
- Model Architectures — 67 citations into it; #1,853 of 2,278 by trust here, #1,882 by citations
- Optimization & Training — 23 citations into it
- Evaluation & Benchmarks — 19 citations into it
- Efficiency & Compression — 13 citations into it
- Aerospace Engineering — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom Ming Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Andrew Zisserman
- Yann LeCun
- Yoshua Bengio
- David G. Lowe
- Ilya Sutskever
Who trusts Ming Sun overall
- Yuhui Yuan
- Peiqin Zhuang
- Heliang Zheng
- Yue Chen
- Tristan Sylvain
- Pengzhen Ren
- Yali Wang
- Jingdong Wang
- Jianlong Fu
- Zhuoran Shen
Papers from Ming Sun's perspective
Ordered by how strongly the researchers Ming Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Compact Generalized Non-local Network (2018) — 176 citations
- Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition (2018) — 393 citations
- GLiT: Neural Architecture Search for Global and Local Image Transformer (2021) — 104 citations
- Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection (2019) — 58 citations
- Computation Reallocation for Object Detection (2019) — 36 citations
- Improving One-Shot NAS by Suppressing the Posterior Fading (2019) — 80 citations