most citedCoco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry using Non-Uniform B-spline

36 citations · 89 across the 15 of their papers we have counts for

collaborators

14 papers

cs.CV2023

Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning

Fu-Ya Luo, Shu-Lin Liu, Yi-Jun Cao +4

Stable imaging in adverse environments (e.g., total darkness) makes thermal infrared (TIR) cameras a prevalent option for night scene perception. However, the low contrast and lack…

cs.CV202311 cited

Real3D-AD: A Dataset of Point Cloud Anomaly Detection

Jiaqi Liu, Guoyang Xie, Ruitao Chen +5

High-precision point cloud anomaly detection is the gold standard for identifying the defects of advancing machining and precision manufacturing. Despite some methodological advanc…

cs.CV20231 cited

Can the Query-based Object Detector Be Designed with Fewer Stages?

Jialin Li, Weifu Fu, Yuhuan Lin +2

Query-based object detectors have made significant advancements since the publication of DETR. However, most existing methods still rely on multi-stage encoders and decoders, or a…

cs.RO202336 cited

Coco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry using Non-Uniform B-spline

Xiaolei Lang, Chao Chen, Kai Tang +4

In this paper, we propose an efficient continuous-time LiDAR-Inertial-Camera Odometry, utilizing non-uniform B-splines to tightly couple measurements from the LiDAR, IMU, and camer…

cs.CV2023

Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking

Teli Ma, Mengmeng Wang, Jimin Xiao +2

Siamese network has been a de facto benchmark framework for 3D LiDAR object tracking with a shared-parametric encoder extracting features from template and search region, respectiv…

cs.CV20232 cited

Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning

Chun-Mei Feng, Kai Yu, Yong Liu +2

Benefiting from prompt tuning, recent years have witnessed the promising performance of pre-trained vision-language models, e.g., CLIP, on versatile downstream tasks. In this paper…