Yuhui Zheng

Computer Vision and Pattern Recognition · 2015–2022

A researcher in the Science corpus: 3 papers; trusts 175 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 74 citations into it
• Generative Models — 48 citations into it
• Media Technology — 40 citations into it; #2,678 of 3,621 by trust here, #2,598 by citations
• Atmospheric Science — 20 citations into it; #3,351 of 4,804 by trust here, #4,290 by citations
• Probabilistic & Bayesian Methods — 9 citations into it
• Analytical Chemistry — 6 citations into it
• Model Architectures — 6 citations into it
• Biomedical Engineering — 5 citations into it

Whom Yuhui Zheng trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Songcan Chen
4. Stelios Krinidis
5. Alex Krizhevsky
6. Yoshua Bengio
7. Diederik P. Kingma
8. Yann LeCun
9. Yushi Chen
10. Andrew Zisserman

Who trusts Yuhui Zheng overall

1. Nabil Ibtehaz
2. Lingheng Meng
3. Swalpa Kumar Roy
4. Hui Wang
5. Mohammad Sohel Rahman
6. Shifei Ding
7. Ankur Deria

Papers from Yuhui Zheng's perspective

Ordered by how strongly the researchers Yuhui Zheng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification (2022) — 791 citations
• Recent Progress on Generative Adversarial Networks (GANs): A Survey (2019) — 552 citations
• Image segmentation by generalized hierarchical fuzzy C-means algorithm (2015) — 461 citations