Borui Jiang

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 848 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 300 citations into it; #4,029 of 21,575 by trust here, #2,783 by citations
• Artificial Intelligence — 119 citations into it; #15,672 of 35,345 by trust here, #4,489 by citations
• Model Architectures — 30 citations into it
• Human-Computer Interaction — 16 citations into it
• Biomedical Engineering — 9 citations into it
• Neurology — 5 citations into it

Whom Borui Jiang trusts overall

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

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

Who trusts Borui Jiang overall

1. Martin Danelljan
2. Shaoshuai Shi
3. Fredrik K. Gustafsson
4. Goutam Bhat
5. Xiang-Yang Li
6. Shengkai Wu
7. Luc Van Gool
8. Weicheng Kuo
9. Xingyi Zhou
10. Li Jiang

Papers from Borui Jiang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Acquisition of Localization Confidence for Accurate Object Detection (2018) — 947 citations
• Deep High-Resolution Representation Learning for Visual Recognition (2019) — 4,876 citations
• High-Resolution Representations for Labeling Pixels and Regions (2019) — 909 citations
• Fast Fourier Convolution (2020) — 764 citations