Yiqin Tan

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Generative Models — 19 citations into it
• Artificial Intelligence — 11 citations into it
• Statistical and Nonlinear Physics — 11 citations into it

Whom Yiqin Tan trusts overall

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

1. Jonathan Ho
2. Yang Song
3. Diederik P. Kingma
4. Aapo Hyvärinen
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. Ilya Sutskever
9. Prafulla Dhariwal
10. Kaiming He

Who trusts Yiqin Tan overall

1. Tianwei Yin
2. Axel Sauer
3. Kevin Frans

Papers from Yiqin Tan's perspective

Ordered by how strongly the researchers Yiqin Tan 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. ImageNet: A large-scale hierarchical image database
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference (2023) — 876 citations