Ze Liu
Computer Vision and Pattern Recognition · 2021–2022
A researcher in the Science corpus: 5 papers; trusts 611 researchers and is trusted by 568 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 221 citations into it; #1,799 of 21,575 by trust here, #895 by citations
- Artificial Intelligence — 156 citations into it; #4,167 of 35,345 by trust here, #1,120 by citations
- Model Architectures — 80 citations into it; #408 of 2,278 by trust here, #137 by citations
- Optimization & Training — 26 citations into it
- Computational Mechanics — 20 citations into it
- Aerospace Engineering — 19 citations into it
- Geology — 19 citations into it
Whom Ze Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Ross B. Girshick
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
- Karen Simonyan
- Christian Szegedy
Who trusts Ze Liu overall
- Jianwei Yang
- Yongming Rao
- Yanghao Li
- Weihao Yu
- Yuxin Fang
- Meng-Hao Guo
- Jianfeng Gao
- Xueyan Zou
- Ali Hassani
- Wenliang Zhao
Papers from Ze Liu's perspective
Ordered by how strongly the researchers Ze 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
- 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
- Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (2021) — 33,967 citations
- Video Swin Transformer (2021) — 2,180 citations
- Swin Transformer V2: Scaling Up Capacity and Resolution (2021) — 2,875 citations
- Tutel: Adaptive Mixture-of-Experts at Scale (2022) — 273 citations
- Group-Free 3D Object Detection via Transformers (2021) — 387 citations