Jing Xu

Computer Vision and Pattern Recognition · with Chen · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Computational Mechanics — 15 citations into it
• Media Technology — 14 citations into it
• Aerospace Engineering — 11 citations into it
• Geology — 11 citations into it
• Mechanical Engineering — 11 citations into it
• 3D Vision & Pose — 9 citations into it
• Computer Graphics and Computer-Aided Design — 9 citations into it

Whom Jing Xu trusts overall

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

1. Song Zhang
2. Qian Kemao
3. Kaiming He
4. X. Su
5. Chao Zuo
6. Yasutaka Furukawa
7. Li Zhang
8. Zhengyou Zhang

Papers from Jing Xu's perspective

Ordered by how strongly the researchers Jing 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. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Point-Based Multi-View Stereo Network (2019) — 409 citations
• Status, challenges, and future perspectives of fringe projection profilometry (2020) — 350 citations