Wenqing Cheng

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it

Whom Wenqing Cheng trusts overall

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

1. Kaiming He
2. Ross B. Girshick

Papers from Wenqing Cheng's perspective

Ordered by how strongly the researchers Wenqing Cheng 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
3. ImageNet classification with deep convolutional neural networks
4. Fully convolutional networks for semantic segmentation
5. Mask R-CNN
6. Fast R-CNN
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• YOLOP: You Only Look Once for Panoptic Driving Perception (2021) — 462 citations