Xiaoyang Wu

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 95 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 80 citations into it
• Computational Mechanics — 54 citations into it
• Geology — 40 citations into it
• Aerospace Engineering — 37 citations into it
• Environmental Engineering — 18 citations into it
• 3D Vision & Pose — 12 citations into it

Whom Xiaoyang Wu trusts overall

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

1. Charles Ruizhongtai Qi
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Diederik P. Kingma
7. Yoshua Bengio
8. Hengshuang Zhao
9. Yann LeCun
10. Christopher Bongsoo Choy

Who trusts Xiaoyang Wu overall

1. Dingkang Liang

Papers from Xiaoyang Wu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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

• Point Transformer V3: Simpler, Faster, Stronger (2023) — 958 citations
• Point Transformer V2: Grouped Vector Attention and Partition-based Pooling (2022) — 828 citations