Zhenhua Liu
Computer Vision and Pattern Recognition · with Xu · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 403 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 276 citations into it
- Artificial Intelligence — 180 citations into it
- Model Architectures — 80 citations into it
- Efficiency & Compression — 50 citations into it
Whom Zhenhua Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Ross B. Girshick
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Andrew Zisserman
Who trusts Zhenhua Liu overall
Papers from Zhenhua Liu's perspective
Ordered by how strongly the researchers Zhenhua Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Pre-Trained Image Processing Transformer (2020) — 2,255 citations
- A Survey on Vision Transformer (2020) — 3,751 citations
- Post-Training Quantization for Vision Transformer (2021) — 505 citations