Yu Zheng

Computer Vision and Pattern Recognition · with Lu · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 202 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it
• Aerospace Engineering — 18 citations into it
• Artificial Intelligence — 14 citations into it
• Geology — 14 citations into it
• Computational Mechanics — 11 citations into it
• 3D Vision & Pose — 8 citations into it

Whom Yu Zheng trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shuran Song
6. Yoshua Bengio
7. Diederik P. Kingma
8. Yann LeCun
9. Charles Ruizhongtai Qi
10. Pedro F. Felzenszwalb

Papers from Yu Zheng's perspective

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

• COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis (2019) — 448 citations
• Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement (2022) — 34 citations