Xiangde Luo
Computer Vision and Pattern Recognition · 2020–2022
A researcher in the Science corpus: 5 papers; trusts 143 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 110 citations into it
- Artificial Intelligence — 75 citations into it
- Representation & Self-Supervised Learning — 24 citations into it
- Model Architectures — 19 citations into it
- Biophysics — 9 citations into it
- Optimization & Training — 8 citations into it
Whom Xiangde Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Lequan Yu
- Ross B. Girshick
- Antti Tarvainen
- Yoshua Bengio
- Karen Simonyan
- Diederik P. Kingma
- Xiaomeng Li
Who trusts Xiangde Luo overall
- Yicheng Wu
- Rushi Jiao
- Yichi Zhang
- ZongYuan Ge
- Chenyu You
- Minfeng Xu
- Jieneng Chen
- Leiting Ding
- Junde Wu
- Tao Song
Papers from Xiangde Luo's perspective
Ordered by how strongly the researchers Xiangde Luo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation (2021) — 5,990 citations
- Semi-supervised Medical Image Segmentation through Dual-task Consistency (2020) — 796 citations
- Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency (2022) — 383 citations
- Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer (2021) — 332 citations
- Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency (2020) — 325 citations