Ye Xia

Computer Vision and Pattern Recognition · with Alabdulmohsin · 2021–2025

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 63 citations into it; #14,372 of 21,575 by trust here, #2,155 by citations
• Artificial Intelligence — 59 citations into it

Whom Ye Xia 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. Ilya Sutskever
7. Richard Socher
8. Yann LeCun
9. Ross B. Girshick
10. Jia Deng

Who trusts Ye Xia overall

1. Junnan Li
2. Renrui Zhang
3. Weicheng Kuo
4. Jiahui Yu
5. Mitchell Wortsman
6. Ajay Jain
7. Xiaohua Zhai
8. Xiuye Gu

Papers from Ye Xia's perspective

Ordered by how strongly the researchers Ye Xia 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. 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

• Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision (2021) — 5,764 citations
• SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features (2025) — 1,063 citations