Jie Gui

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 3 papers; trusts 1,041 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 445 citations into it; #18,249 of 21,575 by trust here, #14,478 by citations
• Artificial Intelligence — 294 citations into it
• Generative Models — 199 citations into it
• Representation & Self-Supervised Learning — 139 citations into it
• Signal Processing — 38 citations into it
• Computational Mechanics — 32 citations into it
• Statistical and Nonlinear Physics — 23 citations into it
• Multimodal Learning — 21 citations into it

Whom Jie Gui trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Diederik P. Kingma
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Ross B. Girshick
9. Karen Simonyan
10. Andrew Zisserman

Who trusts Jie Gui overall

1. Shiyu Chang
2. Divya Saxena
3. Leonardo Banh
4. Zhangyang Wang
5. Yonggan Fu
6. Ling Yang
7. Jiannong Cao
8. Gero Strobel

Papers from Jie Gui's perspective

Ordered by how strongly the researchers Jie Gui 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
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. GENERATIVE ADVERSARIAL NETS

Their papers

• A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends (2023) — 566 citations
• A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications (2020) — 1,136 citations
• Feature Selection Based on Structured Sparsity: A Comprehensive Study (2017) — 250 citations