Yingming Wang

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

A researcher in the Science corpus: 2 papers; trusts 291 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it; #18,782 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 36 citations into it
• Model Architectures — 19 citations into it
• Optimization & Training — 6 citations into it

Whom Yingming Wang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Tsung-Yi Lin
4. Shaoqing Ren
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Piotr Doll'ar
8. Yann LeCun
9. Yoshua Bengio
10. Christian Szegedy

Who trusts Yingming Wang overall

1. Yingfei Liu
2. Shilong Liu
3. Hao Zhang
4. Feng Li
5. Xuanyao Chen
6. Qiang Chen
7. Zhijian Liu
8. Xiangtai Li
9. Yang Liu
10. Tiancai Wang

Papers from Yingming Wang's perspective

Ordered by how strongly the researchers Yingming Wang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• Anchor DETR: Query Design for Transformer-Based Detector (2022) — 603 citations
• You Only Look One-level Feature (2021) — 683 citations