Chenyang Si

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 6 papers; trusts 814 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 290 citations into it; #9,708 of 21,575 by trust here, #8,296 by citations
• Artificial Intelligence — 190 citations into it
• Model Architectures — 115 citations into it
• Optimization & Training — 34 citations into it
• Biomedical Engineering — 24 citations into it; #2,646 of 10,734 by trust here, #5,297 by citations
• Evaluation & Benchmarks — 17 citations into it
• Efficiency & Compression — 16 citations into it
• Human-Computer Interaction — 15 citations into it

Whom Chenyang Si trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Karen Simonyan
7. Yoshua Bengio
8. Yann LeCun
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Chenyang Si overall

1. Yisheng Song
2. Ke Cheng
3. Zehua Sun
4. Weihao Yu
5. Chiara Plizzari
6. Yifan Zhang
7. Ken Ziyu Liu
8. Zhang Zhang
9. Pengfei Zhang
10. Maosen Li

Papers from Chenyang Si's perspective

Ordered by how strongly the researchers Chenyang Si 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models (2023) — 404 citations
• Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning (2018) — 376 citations
• An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition (2019) — 827 citations
• Inception Transformer (2022) — 300 citations
• MetaFormer Baselines for Vision (2022) — 348 citations
• MetaFormer is Actually What You Need for Vision (2021) — 1,389 citations