Shuguang Cui
Computer Vision and Pattern Recognition · International Conference on Medical Image Computing and Computer-Assisted Intervention · 2019–2021
A researcher in the Science corpus: 6 papers; trusts 234 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 77 citations into it
- Computational Mechanics — 64 citations into it
- Geology — 40 citations into it
- Aerospace Engineering — 39 citations into it; #3,775 of 6,421 by trust here, #3,072 by citations
- Molecular Biology — 24 citations into it
- Electrical and Electronic Engineering — 22 citations into it; #8,765 of 16,539 by trust here, #11,313 by citations
- Computational Theory and Mathematics — 19 citations into it
- Model Architectures — 16 citations into it
Whom Shuguang Cui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Olaf Ronneberger
- Diederik P. Kingma
- Sergey L. Loyka
- Karen Simonyan
Who trusts Shuguang Cui overall
Papers from Shuguang Cui's perspective
Ordered by how strongly the researchers Shuguang Cui 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling (2020) — 671 citations
- Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis (2019) — 851 citations
- PointSite: a point cloud segmentation tool for identification of protein ligand binding atoms (2019) — 54 citations
- Shallow Attention Network for Polyp Segmentation (2021) — 417 citations
- Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (2020) — 383 citations
- Adaptive Context Selection for Polyp Segmentation (2020) — 324 citations