Wenjie Mu — accepted AI-conference papers

2026

MU-GeNeRF: Multi-view Uncertainty-guided Generalizable Neural Radiance Fields for Distractor-aware Scene

Wenjie Mu, Zhan Li, Chuanzhou Su, Xuanyi Shen, Ziniu Liu, Fan Lu +5

CVPR 2026

Generalizable Neural Radiance Fields (GeNeRF) enable high-quality scene reconstruction from a limited number of views and can generalize to unseen scenes. However, in real-world environments, transient distractors disrupt structural consistency across views, leading to deviated supervision signals a

Cited by 0 Source ↗code ↗Scholar ↗

2024

Learning Sequence Descriptor Based on Spatio-Temporal Attention for Visual Place Recognition

Junqiao Zhao, Fenglin Zhang, Yingfeng Cai, Gengxuan Tian, Wenjie Mu, Chen Ye +1

RA-L 2024

Visual Place Recognition (VPR) aims to retrieve frames from a geotagged database that are located at the same place as the query frame. To improve the robustness of VPR in perceptually aliasing scenarios, sequence-based VPR methods are proposed. These methods are either based on matching between fra

Cited by 12 Source ↗code ↗Scholar ↗