most citedAchelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Traffic-CBM: A Structurally Interpretable Multimodal Framework for Encrypted Traffic Classification

Honglei Jin, Wenshuo Chen, Shaofeng Liang +6

Encrypted traffic classification has achieved strong performance, but its decision process remains difficult to interpret. Existing methods usually combine flow statistics, packet…

cs.CV2024

Referring Flexible Image Restoration

Runwei Guan, Rongsheng Hu, Zhuhao Zhou +6

In reality, images often exhibit multiple degradations, such as rain and fog at night (triple degradations). However, in many cases, individuals may not want to remove all degradat…

eess.SP2023

Radar-STDA: A High-Performance Spatial-Temporal Denoising Autoencoder for Interference Mitigation of FMCW Radars

Lulu Liu, Runwei Guan, Fei Ma +2

With its small size, low cost and all-weather operation, millimeter-wave radar can accurately measure the distance, azimuth and radial velocity of a target compared to other traffi…

cs.CV20231 cited

Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar

Runwei Guan, Shanliang Yao, Xiaohui Zhu +5

Current perception models for different tasks usually exist in modular forms on Unmanned Surface Vehicles (USVs), which infer extremely slowly in parallel on edge devices, causing…

cs.CV2023

Self-Supervised Learning for Point Clouds Data: A Survey

Changyu Zeng, Wei Wang, Anh Nguyen +1

3D point clouds are a crucial type of data collected by LiDAR sensors and widely used in transportation applications due to its concise descriptions and accurate localization. Deep…

cs.CV2023

FindVehicle and VehicleFinder: A NER dataset for natural language-based vehicle retrieval and a keyword-based cross-modal vehicle retrieval system

Runwei Guan, Ka Lok Man, Feifan Chen +6

Natural language (NL) based vehicle retrieval is a task aiming to retrieve a vehicle that is most consistent with a given NL query from among all candidate vehicles. Because NL que…