Jian-Qing Zheng

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it

Whom Jian-Qing Zheng trusts overall

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

1. L. Eon Bottou
2. Kaiming He
3. Olaf Ronneberger
4. Noam Shazeer
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Ashish Vaswani
8. Yann LeCun
9. Yoshua Bengio
10. Jieneng Chen

Papers from Jian-Qing Zheng's perspective

Ordered by how strongly the researchers Jian-Qing Zheng 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation (2024) — 352 citations