Baoshan Cheng

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #17,685 of 21,575 by trust here, #7,750 by citations

Whom Baoshan Cheng trusts overall

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

1. Kaiming He

Who trusts Baoshan Cheng overall

1. Lu Yuan
2. Jianfeng Gao
3. Jianwei Yang

Papers from Baoshan Cheng's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Mask R-CNN
3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Decoupled Weight Decay Regularization
7. Feature Pyramid Networks for Object Detection
8. End-to-End Object Detection with Transformers (European Conference on Computer Vision)
9. PyTorch: An Imperative Style, High-Performance Deep Learning Library
10. Gradient-based learning applied to document recognition

Their papers

• End-to-End Video Instance Segmentation with Transformers (2020) — 792 citations