Geng Chen

Computer Vision and Pattern Recognition · IEEE Transactions on Medical Imaging · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 222 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 92 citations into it; #13,552 of 21,575 by trust here, #9,435 by citations

Whom Geng Chen trusts overall

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

1. Kaiming He
2. Deng-Ping Fan
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Karen Simonyan
7. Yann LeCun
8. Diederik P. Kingma
9. Yoshua Bengio
10. Ming-Ming Cheng

Who trusts Geng Chen overall

1. Deng-Ping Fan
2. Tao Zhou
3. Md Mostafijur Rahman
4. Youwei Pang
5. Xiaoqi Zhao

Papers from Geng Chen's perspective

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

Their papers

• PraNet: Parallel Reverse Attention Network for Polyp Segmentation (2020) — 1,833 citations
• Context-aware Cross-level Fusion Network for Camouflaged Object Detection (2021) — 330 citations
• Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images (2020) — 1,137 citations
• Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis (2020) — 363 citations