Gongping Chen

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 14 citations into it
• Radiology, Nuclear Medicine and Imaging — 8 citations into it

Whom Gongping Chen trusts overall

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

1. Nabila Abraham
2. Olaf Ronneberger
3. Vijay Badrinarayanan
4. Zongwei Zhou
5. Hengshuang Zhao
6. Naimul Mefraz Khan
7. Ozan Oktay
8. Alex Kendall
9. Philipp Fischer
10. Kaiming He

Papers from Gongping Chen's perspective

Ordered by how strongly the researchers Gongping 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. 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. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images (2022) — 332 citations