Jun Zhang

Computer Vision and Pattern Recognition · with Liu · 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; #19,088 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 Jun Zhang 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 Jun Zhang overall

1. Peng Wang
2. Qixun Wang

Papers from Jun Zhang's perspective

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

Their papers

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