Xing Sun

Computer Vision and Pattern Recognition · National Science Review · 2018–2023

A researcher in the Science corpus: 4 papers; trusts 230 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 198 citations into it; #20,950 of 21,575 by trust here, #9,722 by citations
• Artificial Intelligence — 195 citations into it

Whom Xing Sun trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ross B. Girshick
7. Liang Zheng
8. Yann LeCun
9. Ilya Sutskever
10. Xiatian Zhu

Who trusts Xing Sun overall

1. Michael Crawshaw
2. Mang Ye

Papers from Xing Sun's perspective

Ordered by how strongly the researchers Xing Sun 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Microsoft COCO: Common Objects in Context

Their papers

• Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training (2018) — 392 citations
• A survey on multimodal large language models (2023) — 1,509 citations
• Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer (2021) — 301 citations
• MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models (2023) — 1,670 citations