Yufei Xu

Computer Vision and Pattern Recognition · with Zhang · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 860 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 244 citations into it; #9,069 of 21,575 by trust here, #8,122 by citations
• Artificial Intelligence — 150 citations into it; #15,951 of 35,345 by trust here, #14,181 by citations
• Model Architectures — 88 citations into it
• Media Technology — 21 citations into it
• Electrical and Electronic Engineering — 20 citations into it; #10,407 of 16,539 by trust here, #10,998 by citations
• Aerospace Engineering — 13 citations into it
• Optimization & Training — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Yufei Xu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Karen Simonyan
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Andrew Zisserman
10. Yann LeCun

Who trusts Yufei Xu overall

1. Di Wang
2. Yunpeng Zhang
3. Jing Zhang
4. Qiming Zhang
5. Georgios Pavlakos
6. Chenyang Si
7. Dacheng Tao
8. Shubham Goel
9. Zhengbiao Zhu
10. Tao Jiang

Papers from Yufei Xu's perspective

Ordered by how strongly the researchers Yufei Xu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias (2021) — 426 citations
• ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation (2022) — 997 citations
• ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond (2022) — 305 citations
• Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model (2022) — 379 citations