activity
20222026
most citedFEC: Fast Euclidean Clustering for Point Cloud Segmentation

5 citations · 8 across the 15 of their papers we have counts for

collaborators

17 papers

cs.CV2026

Rolling Shutter Camera Self-Calibration

Yongcong Zhang, Navid Rabbani, Bangyan Liao +3

Rolling shutter (RS) cameras are widely used in consumer devices, but their row-wise exposure causes distortions under motion, making geometric 3D vision problems dependent on both…

cs.CV2026

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…

cs.CV2026

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting

Chengbo Wang, Guozheng Ma, Jinhong Wu +2

3D Gaussian Splatting (3DGS) employs Gaussian primitives for explicit scene representation, facilitating real-time, high-fidelity reconstruction and novel view synthesis of complex…

cs.CV2026

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.…

cs.CV2026

: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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

cs.CV2023

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…

eess.IV2023★ 1 cited

Application of attention-based Siamese composite neural network in medical image recognition

Zihao Huang, Yue Wang, Weixing Xin +5

Medical image recognition often faces the problem of insufficient data in practical applications. Image recognition and processing under few-shot conditions will produce overfittin…

cs.CV2023★ 1 cited

Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter Correction

Delin Qu, Yizhen Lao, Zhigang Wang +3

This paper addresses the problem of rolling shutter correction in complex nonlinear and dynamic scenes with extreme occlusion. Existing methods suffer from two main drawbacks. Firs…

cs.CV2022

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…

cs.CV2022★ 5 cited

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…