8 citations · 22 across the 21 of their papers we have counts for
7 papers · 1 filter
Diffusion-Based Restoration for Multi-Modal 3D Object Detection in Adverse Weather
Zhijian He, Feifei Liu, Yuwei Li +4
Multi-modal 3D object detection is important for reliable perception in robotics and autonomous driving. However, its effectiveness remains limited under adverse weather conditions…
Scale, Don't Fine-tune: Guiding Multimodal LLMs for Efficient Visual Place Recognition at Test-Time
Jintao Cheng, Weibin Li, Jiehao Luo +5
Visual Place Recognition (VPR) has evolved from handcrafted descriptors to deep learning approaches, yet significant challenges remain. Current approaches, including Vision Foundat…
A Pseudo Global Fusion Paradigm-Based Cross-View Network for LiDAR-Based Place Recognition
Jintao Cheng, Jiehao Luo, Xieyuanli Chen +4
LiDAR-based Place Recognition (LPR) remains a critical task in Embodied Artificial Intelligence (AI) and Autonomous Driving, primarily addressing localization challenges in GPS-den…
KDMOS:Knowledge Distillation for Motion Segmentation
Chunyu Cao, Jintao Cheng, Zeyu Chen +4
Motion Object Segmentation (MOS) is crucial for autonomous driving, as it enhances localization, path planning, map construction, scene flow estimation, and future state prediction…
You Sense Only Once Beneath: Ultra-Light Real-Time Underwater Object Detection
Jun Dong, Wenli Wu, Jintao Cheng +1
Despite the remarkable achievements in object detection, the model's accuracy and efficiency still require further improvement under challenging underwater conditions, such as low…
Incorporating GNSS Information with LIDAR-Inertial Odometry for Accurate Land-Vehicle Localization
Jintao Cheng, Bohuan Xue, Shiyang Chen +2
Currently, visual odometry and LIDAR odometry are performing well in pose estimation in some typical environments, but they still cannot recover the localization state at high spee…
MambaFlow: A Novel and Flow-guided State Space Model for Scene Flow Estimation
Jiehao Luo, Jintao Cheng, Xiaoyu Tang +3
Scene flow estimation aims to predict 3D motion from consecutive point cloud frames, which is of great interest in autonomous driving field. Existing methods face challenges such a…