5 citations · 6 across the 12 of their papers we have counts for
13 papers
Illusion or Integrity? Geometrical Consistency Metric for AIGC Video Quality Evaluation
Yifei Xue, Yuanchen Fei, Hao Zhang +3
Recently, AI-driven video generation has attracted considerable attention. This surge increases the demand for reliable video quality assessment (VQA) metrics to evaluate AI-genera…
GRAR: Glass-induced Reflection Artifact Removal in LiDAR Point Clouds
Wanpeng Shao, Zeyi Guo, Bo Zhang +3
Terrestrial Laser Scanning (TLS) point clouds captured in urban environments frequently suffer from glass-induced reflection artifacts, severely degrading downstream applications.…
:Scene-agnostic Visual Localization in the Wild
Yu Zhang, Muhua Zhu, Yifei Xue +2
Standard visual localization methods typically require offline pre-processing of scenes to obtain 3D structural information for better performance. This inevitably introduces addit…
VS3R: Robust Full-frame Video Stabilization via Deep 3D Reconstruction
Muhua Zhu, Xinhao Jin, Xinping Wang +4
Video stabilization aims to mitigate camera shake but faces a fundamental trade-off between geometric robustness and full-frame consistency. While 2D methods suffer from aggressive…
DisorientLiDAR: Physical Attacks on LiDAR-based Localization
Yizhen Lao, Yu Zhang, Ziting Wang +3
Deep learning models have been shown to be susceptible to adversarial attacks with visually imperceptible perturbations. Even this poses a serious security challenge for the locali…
PIS3R: Very Large Parallax Image Stitching via Deep 3D Reconstruction
Muhua Zhu, Xinhao Jin, Chengbo Wang +4
Image stitching aim to align two images taken from different viewpoints into one seamless, wider image. However, when the 3D scene contains depth variations and the camera baseline…
Faster and Better 3D Splatting via Group Training
Chengbo Wang, Guozheng Ma, Yifei Xue +1
3D Gaussian Splatting (3DGS) has emerged as a powerful technique for novel view synthesis, demonstrating remarkable capability in high-fidelity scene reconstruction through its Gau…
RSL-BA: Rolling Shutter Line Bundle Adjustment
Yongcong Zhang, Bangyan Liao, Yifei Xue +3
The line is a prevalent element in man-made environments, inherently encoding spatial structural information, thus making it a more robust choice for feature representation in prac…
IOVS4NeRF:Incremental Optimal View Selection for Large-Scale NeRFs
Jingpeng Xie, Shiyu Tan, Yuanlei Wang +3
Large-scale Neural Radiance Fields (NeRF) reconstructions are typically hindered by the requirement for extensive image datasets and substantial computational resources. This paper…
BirdNeRF: Fast Neural Reconstruction of Large-Scale Scenes From Aerial Imagery
Huiqing Zhang, Yifei Xue, Ming Liao +1
In this study, we introduce BirdNeRF, an adaptation of Neural Radiance Fields (NeRF) designed specifically for reconstructing large-scale scenes using aerial imagery. Unlike previo…
DFR: Depth from Rotation by Uncalibrated Image Rectification with Latitudinal Motion Assumption
Yongcong Zhang, Yifei Xue, Ming Liao +2
Despite the increasing prevalence of rotating-style capture (e.g., surveillance cameras), conventional stereo rectification techniques frequently fail due to the rotation-dominant…
Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution
Bangyan Liao, Delin Qu, Yifei Xue +2
We propose a robust and fast bundle adjustment solution that estimates the 6-DoF pose of the camera and the geometry of the environment based on measurements from a rolling shutter…
FEC: Fast Euclidean Clustering for Point Cloud Segmentation
Yu Cao, Yancheng Wang, Yifei Xue +2
Segmentation from point cloud data is essential in many applications such as remote sensing, mobile robots, or autonomous cars. However, the point clouds captured by the 3D range s…