Wanting Xu

According to our database1, Wanting Xu authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Cross-Modal Semidense 6-DOF Tracking of an Event Camera in Challenging Conditions.
IEEE Trans. Robotics, 2024

Tight Fusion of Events and Inertial Measurements for Direct Velocity Estimation.
IEEE Trans. Robotics, 2024

Seismic Data Interpolation Using 5D-FCN: A Preliminary Study.
IEEE Geosci. Remote. Sens. Lett., 2024

Event-Based Visual Odometry on Non-Holonomic Ground Vehicles.
CoRR, 2024

Online Stability Improvement of Groebner Basis Solvers using Deep Learning.
CoRR, 2024

Cross-Modal Semi-Dense 6-DoF Tracking of an Event Camera in Challenging Conditions.
CoRR, 2024

2023
Accelerating Globally Optimal Consensus Maximization in Geometric Vision.
CoRR, 2023

2021
Continuous Event-Line Constraint for Closed-Form Velocity Initialization.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Modeling and Predicting Chaotic Circuit Data.
SIAM/ASA J. Uncertain. Quantification, 2019

Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors.
CoRR, 2019

A Literature Review of the Research on Interaction Mode of Self-driving Cars.
Proceedings of the Design, User Experience, and Usability. Application Domains, 2019

Online Stability Improvement of Gröbner Basis Solvers using Deep Learning.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Exponentially Accurate Temporal Decomposition for Long-Horizon Linear-Quadratic Dynamic Optimization.
SIAM J. Optim., 2018

2017
Maximum Likelihood Estimation for a Smooth Gaussian Random Field Model.
SIAM/ASA J. Uncertain. Quantification, 2017

2016
A Limited-Memory Multiple Shooting Method for Weakly Constrained Variational Data Assimilation.
SIAM J. Numer. Anal., 2016


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