Bingzhi Chen

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 144 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Artificial Intelligence — 43 citations into it
• Radiology, Nuclear Medicine and Imaging — 23 citations into it
• Model Architectures — 20 citations into it
• Media Technology — 8 citations into it
• Biophysics — 6 citations into it

Whom Bingzhi Chen trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Olaf Ronneberger
9. Karen Simonyan
10. Ilya Sutskever

Who trusts Bingzhi Chen overall

1. Hong-Yu Zhou
2. Reza Azad
3. Ange Lou

Papers from Bingzhi Chen's perspective

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

Their papers

• DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation (2021) — 922 citations
• TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation (2021) — 411 citations