Yuqian Liu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Aerospace Engineering — 20 citations into it

Whom Yuqian Liu trusts overall

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

1. Richard A. Newcombe

Papers from Yuqian Liu's perspective

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

1. KinectFusion: Real-time dense surface mapping and tracking
2. A volumetric method for building complex models from range images
3. DTAM: Dense tracking and mapping in real-time
4. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
5. A benchmark for the evaluation of RGB-D SLAM systems
6. Real-time 3D reconstruction at scale using voxel hashing
7. ORB-SLAM: A Versatile and Accurate Monocular SLAM System
8. ElasticFusion: Dense SLAM Without A Pose Graph
9. Dense visual SLAM for RGB-D cameras (2013 IEEE/RSJ International Conference on Intelligent Robots and Systems)
10. Neural Sparse Voxel Fields

Their papers

• Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation (2022) — 295 citations