Zheng-Ning Liu
Computer Vision and Pattern Recognition · 2020–2022
A researcher in the Science corpus: 5 papers; trusts 1,158 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 407 citations into it; #10,632 of 21,575 by trust here, #5,754 by citations
- Artificial Intelligence — 247 citations into it
- Model Architectures — 168 citations into it
- Computational Mechanics — 47 citations into it
- Geology — 39 citations into it
- Optimization & Training — 28 citations into it
- Natural Language Processing — 23 citations into it
- Evaluation & Benchmarks — 22 citations into it
Whom Zheng-Ning Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Christian Szegedy
- Ilya Sutskever
- Karen Simonyan
Who trusts Zheng-Ning Liu overall
Papers from Zheng-Ning Liu's perspective
Ordered by how strongly the researchers Zheng-Ning Liu 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- PCT: Point cloud transformer (2020) — 2,195 citations
- SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation (2022) — 1,260 citations
- Visual attention network (2022) — 1,051 citations
- Attention mechanisms in computer vision: A survey (2021) — 2,419 citations
- Beyond Self-Attention: External Attention Using Two Linear Layers for Visual Tasks (2021) — 709 citations