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Nuo Li

7 accepted papers

2026

Detecting Fake News in Short Videos Through Multi-View Aggregation

AAAI 2026technical

The increasing prominence of short video platforms has positioned them as a primary channel for public awareness of current events, while also facilitating the widespread dissemination of fake news, thus highlighting the critical need for automated detection technologies. In contrast to fake news co

Cited by 0SourcePDFScholar
2026

EiGS: Event-Informed 3D Deblur Reconstruction With Gaussian Splatting

RA-L 2026

Neural Radiance Fields (NeRF) have significantly advanced photorealistic novel view synthesis. Recently, 3D Gaus sian Splatting has emerged as a promising technique with faster training and rendering speeds. However, both methods rely heavily on clear images and precise camera poses, limiting perfor

Cited by 0SourceScholar
2026

EiGS: Event-Informed 3D Deblur Reconstruction with Gaussian Splatting

ICRA 2026poster

Neural Radiance Fields (NeRF) have significantly advanced photorealistic novel view synthesis. Recently, 3D Gaussian Splatting has emerged as a promising technique with faster training and rendering speeds. However, both methods rely heavily on clear images and precise camera poses, limiting perform…

Cited by 0SourceScholar
2025

4DRC-OC: Online Calibration of 4D Millimeter Wave Radar-Camera With Depth Map Assistance

RA-L 2025

The online calibration of 4D millimeter-wave radar and camera is crucial for advancing perception and SLAM technologies in complex environments. It eliminates the reliance on manual labeling, offering real-time and convenience. However, the sparse nature of 4D radar point clouds presents challenges

Cited by 2SourceScholar
2025

A LiDAR Odometry With Multi-Metric Feature Association and Contribution Constraint Selection

RA-L 2025

LiDAR-based simultaneous localization and mapping (SLAM) is crucial for achieving accurate pose estimation and map generation, thus serving as a foundational technology in the advancement of autonomous driving systems. In this letter, we introduce an accurate and robust feature-based LiDAR odometry

Cited by 3SourceScholar
2025

Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model

IJCAI 2025

Video advertising has become a popular marketing strategy on e-commerce platforms, requiring high-level semantic reasoning like selling point discovery, narrative organization. Previous rule-based methods struggle with these complex tasks, and learning-based approaches demand large datasets and high

2024

OKR-Net: Overlapping Keypoints Registration Network for Large-Scale LiDAR Point Clouds

RA-L 2024

Point cloud registration is a fundamental task in various intelligence applications, including simultaneous localization and mapping as well as scene reconstruction. However, in large-scale scenes, the majority of point clouds exhibit partial overlap, posing a significant challenge to the registrati

Cited by 4SourceScholar