Keyu Tian

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 161 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 63 citations into it
• Artificial Intelligence — 39 citations into it
• Generative Models — 27 citations into it
• Large Language Models — 20 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Keyu Tian trusts overall

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

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

Who trusts Keyu Tian overall

1. Yueen Ma
2. Peize Sun
3. Yi Jiang

Papers from Keyu Tian's perspective

Ordered by how strongly the researchers Keyu Tian 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. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction (2024) — 1,081 citations