Qiangguo Jin

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Artificial Intelligence — 19 citations into it
• Model Architectures — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Qiangguo Jin trusts overall

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

1. Olaf Ronneberger
2. Diederik P. Kingma
3. Sergey Ioffe
4. William T. Freeman
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Michael Collins
8. Jimmy Ba
9. Paweł Liskowski
10. Kaiming He

Who trusts Qiangguo Jin overall

1. Reza Azad
2. Tongle Fan
3. Nahian Alam Siddique
4. Hu Cao
5. Ehsan Khodapanah Aghdam

Papers from Qiangguo Jin's perspective

Ordered by how strongly the researchers Qiangguo Jin 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans (2018) — 439 citations
• DUNet: A deformable network for retinal vessel segmentation (2018) — 819 citations