Hu Ye

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it; #19,086 of 21,575 by trust here, #13,815 by citations
• Generative Models — 21 citations into it
• Artificial Intelligence — 18 citations into it
• Multimodal Learning — 17 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Large Language Models — 6 citations into it

Whom Hu Ye trusts overall

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

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

Who trusts Hu Ye overall

1. Peng Wang
2. Qixun Wang
3. Zeyu Han
4. Jinbo Xing
5. Haoxin Chen
6. Liucheng Hu
7. Zhen Li
8. Xi Chen
9. Menghan Xia
10. Yichun Shi

Papers from Hu Ye's perspective

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

Their papers

• IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models (2023) — 1,685 citations