Keqiang Sun

Computer Vision and Pattern Recognition · with Li · 2023

A researcher in the Science corpus: 2 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it
• Generative Models — 28 citations into it
• Artificial Intelligence — 26 citations into it
• Multimodal Learning — 14 citations into it
• Optimization & Training — 7 citations into it

Whom Keqiang Sun trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Jonathan Ho
6. Yoshua Bengio
7. Aditya Ramesh
8. Jimmy Ba
9. Ilya Sutskever
10. Yann LeCun

Papers from Keqiang Sun's perspective

Ordered by how strongly the researchers Keqiang Sun 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. 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. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis (2023) — 863 citations
• Human Preference Score: Better Aligning Text-to-image Models with Human Preference (2023) — 351 citations