Ziyi Lin

Computer Vision and Pattern Recognition · 2018–2024

A researcher in the Science corpus: 5 papers; trusts 580 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 256 citations into it; #12,879 of 21,575 by trust here, #6,606 by citations
• Artificial Intelligence — 231 citations into it
• Large Language Models — 83 citations into it
• Prompting & Reasoning — 26 citations into it
• Model Architectures — 25 citations into it
• Generative Models — 16 citations into it; #1,179 of 1,956 by trust here, #1,715 by citations
• Computer Graphics and Computer-Aided Design — 10 citations into it; #901 of 1,584 by trust here, #1,116 by citations

Whom Ziyi Lin trusts overall

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

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

Who trusts Ziyi Lin overall

1. Wei Zhang
2. Hui Li
3. Luke Melas-Kyriazi
4. Dae Young Park
5. Renrui Zhang
6. Hao Shao
7. Xiaolei Wu

Papers from Ziyi Lin's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model (2023) — 758 citations
• SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models (2024) — 159 citations
• SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models (2023) — 306 citations
• ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning for Action Recognition (2022) — 316 citations
• Avatar-Net: Multi-scale Zero-Shot Style Transfer by Feature Decoration (2018) — 325 citations