12 citations · 16 across the 6 of their papers we have counts for
6 papers
Online Stability Improvement of Groebner Basis Solvers using Deep Learning
Wanting Xu, Lan Hu, Manolis C. Tsakiris +1
Over the past decade, the Gröbner basis theory and automatic solver generation have lead to a large number of solutions to geometric vision problems. In practically all cases, the…
Incremental Semantic Localization using Hierarchical Clustering of Object Association Sets
Lan Hu, Zhongwei Luo, Runze Yuan +3
We present a novel approach for relocalization or place recognition, a fundamental problem to be solved in many robotics, automation, and AR applications. Rather than relying on of…
Accurate Instance-Level CAD Model Retrieval in a Large-Scale Database
Jiaxin Wei, Lan Hu, Chenyu Wang +1
We present a new solution to the fine-grained retrieval of clean CAD models from a large-scale database in order to recover detailed object shape geometries for RGBD scans. Unlike…
Globally optimal point set registration by joint symmetry plane fitting
Lan Hu, Haomin Shi, Laurent Kneip
The present work proposes a solution to the challenging problem of registering two partial point sets of the same object with very limited overlap. We leverage the fact that most o…
Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors
Lan Hu, Wanting Xu, Kun Huang +1
In an effort to increase the capabilities of SLAM systems and produce object-level representations, the community increasingly investigates the imposition of higher-level priors in…
Dense Object Reconstruction from RGBD Images with Embedded Deep Shape Representations
Lan Hu, Yuchen Cao, Peng Wu +1
Most problems involving simultaneous localization and mapping can nowadays be solved using one of two fundamentally different approaches. The traditional approach is given by a lea…