307 citations
- University of MacauMO84 papers
- Hangzhou City University12 papers
- Shanghai Jiao Tong UniversityCN10 papers
- Tsinghua UniversityCN10 papers
- Chinese Academy of SciencesCN9 papers
- Zhejiang UniversityCN9 papers
- University of Chinese Academy of SciencesCN8 papers
- Nanyang Technological UniversitySG7 papers
- University of Technology SydneyAU7 papers
- Shenzhen Institutes of Advanced TechnologyCN6 papers
- Jinan UniversityCN5 papers
- Shenzhen UniversityCN5 papers
120 papers
Free-Init: Scan-Free, Motion-Free, and Correspondence-Free Initialization for Doppler LiDAR-Inertial Systems
Mingle Zhao, Jiahao Wang, Tianxiao Gao +2
Robust initialization is crucial for online systems. In the letter, a high-frequency and resilient initialization framework is designed for LiDAR-inertial systems, leveraging both…
FMCW-LIO: A Doppler LiDAR-Inertial Odometry
Mingle Zhao, Jiahao Wang, Tianxiao Gao +2
Conventional LiDAR-inertial odometry (LIO) or simultaneous localization and mapping (SLAM) methods heavily rely on geometric features of environments, as LiDARs primarily provide r…
Contamination Inflates Scores but Rarely Reorders Large Language Model Leaderboards
Xingyao Xiao, Yihong Cheng
Benchmark contamination, the leakage of test items into training data, is widely described as a threat to the reliability of large language model (LLM) leaderboards. We argue that…
RSGPNet: Geometric Prompting for Remote Sensing Open-Vocabulary Semantic Segmentation
Shanwen Wang, Xin Sun, Sirui Wang +1
Open-vocabulary semantic segmentation (OVSS) enables text-guided segmentation of unseen objects, breaking fixed-class limitations to achieve open-world understanding. However, exis…
Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation
Camilo Gomez, Pengyang Wang, Yanjie Fu
Learning-to-Rank (LTR) is a supervised machine learning approach that constructs models specifically designed to order a set of items or documents based on their relevance or impor…
Multimodal Industrial Anomaly Detection via Geometric Prior
Min Li, Jinghui He, Gang Li +3
The purpose of multimodal industrial anomaly detection is to detect complex geometric shape defects such as subtle surface deformations and irregular contours that are difficult to…