Zhuguo Li
Computer Vision and Pattern Recognition · 2019–2022
A researcher in the Science corpus: 6 papers; trusts 175 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 75 citations into it
- Computational Mechanics — 40 citations into it
- Molecular Biology — 36 citations into it
- Artificial Intelligence — 29 citations into it
- Geology — 29 citations into it
- Computational Theory and Mathematics — 21 citations into it
- Model Architectures — 18 citations into it
- Aerospace Engineering — 12 citations into it
Whom Zhuguo Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Olaf Ronneberger
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Benjamin Graham
- Bingding Huang
- Christian Szegedy
Papers from Zhuguo Li's perspective
Ordered by how strongly the researchers Zhuguo Li 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling (2020) — 671 citations
- Ultra Fine-Grained Image Semantic Embedding (2020) — 23 citations
- AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation (2022) — 574 citations
- PointSite: a point cloud segmentation tool for identification of protein ligand binding atoms (2019) — 54 citations
- Enhancing Protein Function Prediction Performance by Utilizing AlphaFold-Predicted Protein Structures (2022) — 56 citations
- Adaptive Context Selection for Polyp Segmentation (2020) — 324 citations