Runsheng Yu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it

Whom Runsheng Yu trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Joseph Redmon
4. Mohinder Malhotra
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Alex Krizhevsky
9. Shaoqing Ren
10. X. Zhang

Papers from Runsheng Yu's perspective

Ordered by how strongly the researchers Runsheng Yu 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Microsoft COCO: Common Objects in Context
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions (2021) — 605 citations