Changjian Li

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Aerospace Engineering — 22 citations into it
• Geology — 12 citations into it
• 3D Vision & Pose — 5 citations into it

Whom Changjian Li trusts overall

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

1. Martin Rünz
2. Brian Curless
3. Kaiming He
4. Lourdes de Agapito
5. Michael Strecke

Papers from Changjian Li's perspective

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

Their papers

• RigidFusion: RGB‐D Scene Reconstruction with Rigidly‐moving Objects (2021) — 32 citations