Jianxun Zhang
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 Jianxun Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jianxun Zhang's perspective
Ordered by how strongly the researchers Jianxun Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Squeeze-and-Excitation Networks
- ImageNet classification with deep convolutional neural networks
- Pyramid Scene Parsing Network
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images (2022) — 332 citations