Yongmei Cheng
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 57 citations into it; #9,308 of 21,575 by trust here, #5,287 by citations
- Artificial Intelligence — 43 citations into it; #19,987 of 35,345 by trust here, #8,210 by citations
- Representation & Self-Supervised Learning — 23 citations into it; #2,553 of 3,145 by trust here, #2,587 by citations
- Radiology, Nuclear Medicine and Imaging — 9 citations into it
- Media Technology — 5 citations into it
Whom Yongmei Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yann LeCun
- Karen Simonyan
- Andrew Zisserman
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
- Sumit Chopra
Who trusts Yongmei Cheng overall
Papers from Yongmei Cheng's perspective
Ordered by how strongly the researchers Yongmei Cheng 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)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
Their papers
- Semantic Drift Compensation for Class-Incremental Learning (2020) — 422 citations
- Learning Metrics From Teachers: Compact Networks for Image Embedding (2019) — 123 citations