activity
20192025
most citedDeep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors

12 citations · 24 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2025

Metric, inertially aligned monocular state estimation via kinetodynamic priors

Jiaxin Liu, Min Li, Wanting Xu +3

Accurate state estimation for flexible robotic systems poses significant challenges, particularly for platforms with dynamically deforming structures that invalidate rigid-body ass…

cs.CV2024

Simulator HC: Regression-based Online Simulation of Starting Problem-Solution Pairs for Homotopy Continuation in Geometric Vision

Xinyue Zhang, Zijia Dai, Wanting Xu +1

While automatically generated polynomial elimination templates have sparked great progress in the field of 3D computer vision, there remain many problems for which the degree of th…

cs.CV2024

Event-Based Visual Odometry on Non-Holonomic Ground Vehicles

Wanting Xu, Si'ao Zhang, Li Cui +2

Despite the promise of superior performance under challenging conditions, event-based motion estimation remains a hard problem owing to the difficulty of extracting and tracking st…

cs.CV2024

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…

cs.CV2024

Tight Fusion of Events and Inertial Measurements for Direct Velocity Estimation

Wanting Xu, Xin Peng, Laurent Kneip

Traditional visual-inertial state estimation targets absolute camera poses and spatial landmark locations while first-order kinematics are typically resolved as an implicitly estim…

cs.RO2024

Cross-Modal Semi-Dense 6-DoF Tracking of an Event Camera in Challenging Conditions

Yi-Fan Zuo, Wanting Xu, Xia Wang +2

Vision-based localization is a cost-effective and thus attractive solution for many intelligent mobile platforms. However, its accuracy and especially robustness still suffer from…

cs.CV2023★ 7 cited

Accelerating Globally Optimal Consensus Maximization in Geometric Vision

Xinyue Zhang, Liangzu Peng, Wanting Xu +1

Branch-and-bound-based consensus maximization stands out due to its important ability of retrieving the globally optimal solution to outlier-affected geometric problems. However, w…

cs.CV2021★ 5 cited

Continuous Event-Line Constraint for Closed-Form Velocity Initialization

Peng Xin, Xu Wanting, Yang Jiaqi +1

Event cameras trigger events asynchronously and independently upon a sufficient change of the logarithmic brightness level. The neuromorphic sensor has several advantages over stan…

cs.CV2019★ 12 cited

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…