Minglei Li

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it

Whom Minglei Li trusts overall

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

1. Yuri Boykov
2. Vladimir Kolmogorov
3. M. Kazhdan
4. Patrick Labatut
5. Hugues Hoppe
6. Jean-Philippe Pons
7. Yasutaka Furukawa

Papers from Minglei Li's perspective

Ordered by how strongly the researchers Minglei Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
2. Distinctive Image Features from Scale-Invariant Keypoints
3. Computing geodesics and minimal surfaces via graph cuts (Proceedings Ninth IEEE International Conference on Computer Vision)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet classification with deep convolutional neural networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Accurate, Dense, and Robust Multiview Stereopsis
10. Screened poisson surface reconstruction

Their papers

• Light Pre-Trained Chinese Language Model for NLP Tasks (2020)
• Reconstructing building mass models from UAV images (2016) — 97 citations