Ye Duan

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 433 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 167 citations into it; #9,090 of 21,575 by trust here, #4,584 by citations
• Artificial Intelligence — 117 citations into it
• Model Architectures — 39 citations into it
• Computational Mechanics — 31 citations into it; #3,535 of 10,001 by trust here, #5,350 by citations
• Media Technology — 31 citations into it
• Optimization & Training — 21 citations into it
• Computer Graphics and Computer-Aided Design — 12 citations into it
• Geology — 9 citations into it; #253 of 687 by trust here, #464 by citations

Whom Ye Duan trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Diederik P. Kingma
5. Karen Simonyan
6. Christian Szegedy
7. Yann LeCun
8. Sergey Ioffe
9. Ilya Sutskever
10. Yoshua Bengio

Who trusts Ye Duan overall

1. Zhiyuan Zhang
2. Linqi Zhou
3. Haoshu Fang
4. Binh-Son Hua

Papers from Ye Duan's perspective

Ordered by how strongly the researchers Ye Duan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
• PointGrid: A Deep Network for 3D Shape Understanding (2018) — 408 citations
• Review of deep learning: concepts, CNN architectures, challenges, applications, future directions (2021) — 6,716 citations
• DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM (2019) — 62 citations