Jiacong Xu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 273 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 7 citations into it

Whom Jiacong Xu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. François Chollet
6. Evan Shelhamer
7. Yann LeCun
8. Yoshua Bengio
9. Liang-Chieh Chen
10. Karen Simonyan

Papers from Jiacong Xu's perspective

Ordered by how strongly the researchers Jiacong Xu 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers (2022) — 595 citations