Kejian Wu

Kejian Wu

University of Minnesota-Twin Cities

H-index: 13

North America-United States

About Kejian Wu

Kejian Wu, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of SLAM, Estimation, Computer Vision, Augmented Reality, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Vision-aided inertial navigation system for ground vehicle localization

FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text

Dual-IMU State Estimation for Relative Localization of Two Mobile Agents

On the Efficiency and Consistency of Visual-Inertial Localization and Mapping

Chord: Category-level hand-held object reconstruction via shape deformation

POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo

Furpe: Learning full-body reconstruction from part experts

Object level depth reconstruction for category level 6d object pose estimation from monocular rgb image

Kejian Wu Information

University

Position

PhD Candidate of Electrical and Computer Engineering

Citations(all)

690

Citations(since 2020)

529

Cited By

382

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Kejian Wu Skills & Research Interests

SLAM

Estimation

Computer Vision

Augmented Reality

Robotics

Top articles of Kejian Wu

Vision-aided inertial navigation system for ground vehicle localization

2024/3/26

FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Dual-IMU State Estimation for Relative Localization of Two Mobile Agents

arXiv preprint arXiv:2402.18394

2024/2/28

On the Efficiency and Consistency of Visual-Inertial Localization and Mapping

2024

Kejian Wu
Kejian Wu

H-Index: 9

Chord: Category-level hand-held object reconstruction via shape deformation

2023

POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo

2023

Furpe: Learning full-body reconstruction from part experts

arXiv preprint arXiv:2212.00731

2022/11/30

Object level depth reconstruction for category level 6d object pose estimation from monocular rgb image

2022/10/23

Square-root multi-state constraint Kalman filter for vision-aided inertial navigation system

2022/10/11

MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object Detection

arXiv preprint arXiv:2208.09446

2022/8/19

Reconstruction-aware prior distillation for semi-supervised point cloud completion

arXiv preprint arXiv:2204.09186

2022/4/20

Acr-pose: Adversarial canonical representation reconstruction network for category level 6d object pose estimation

arXiv preprint arXiv:2111.10524

2021/11/20

Square root inverse Schmidt-Kalman filters for vision-aided inertial navigation and mapping

2021/2/2

See List of Professors in Kejian Wu University(University of Minnesota-Twin Cities)

Co-Authors

academic-engine