Xinghua Li

Computer Vision and Pattern Recognition · with Zeng · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Media Technology — 24 citations into it
• Ecology — 12 citations into it
• Generative Models — 8 citations into it
• Environmental Engineering — 7 citations into it

Whom Xinghua Li trusts overall

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

1. Kaiming He
2. Nikos Komodakis
3. Per Jönsson
4. Alexei A. Efros
5. Geoffrey E. Hinton
6. Yann LeCun
7. Ross B. Girshick
8. Alex Krizhevsky
9. Jin Chen
10. Yoshua Bengio

Who trusts Xinghua Li overall

1. Qiangqiang Yuan

Papers from Xinghua Li's perspective

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

Their papers

• A deep translation (GAN) based change detection network for optical and SAR remote sensing images (2021) — 361 citations
• Missing Data Reconstruction in Remote Sensing Image With a Unified Spatial–Temporal–Spectral Deep Convolutional Neural Network (2018) — 364 citations
• Missing Information Reconstruction of Remote Sensing Data: A Technical Review (2015) — 517 citations