5 citations · 6 across the 7 of their papers we have counts for
7 papers
DrivePTS: A Progressive Learning Framework with Textual and Structural Enhancement for Driving Scene Generation
Zhechao Wang, Yiming Zeng, Lufan Ma +4
Synthesis of diverse driving scenes serves as a crucial data augmentation technique for validating the robustness and generalizability of autonomous driving systems. Current method…
Refine-and-Contrast: Adaptive Instance-Aware BEV Representations for Multi-UAV Collaborative Object Detection
Zhongyao Li, Peirui Cheng, Liangjin Zhao +6
Multi-UAV collaborative 3D detection enables accurate and robust perception by fusing multi-view observations from aerial platforms, offering significant advantages in coverage and…
RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks
Zhechao Wang, Peirui Cheng, Pengju Tian +6
Remote sensing lightweight foundation models have achieved notable success in online perception within remote sensing. However, their capabilities are restricted to performing onli…
UCDNet: Multi-UAV Collaborative 3D Object Detection Network by Reliable Feature Mapping
Pengju Tian, Peirui Cheng, Yuchao Wang +5
Multi-UAV collaborative 3D object detection can perceive and comprehend complex environments by integrating complementary information, with applications encompassing traffic monito…
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
Zhechao Wang, Peirui Cheng, Mingxin Chen +5
Collaborative trajectory prediction can comprehensively forecast the future motion of objects through multi-view complementary information. However, it encounters two main challeng…
RingMo-lite: A Remote Sensing Multi-task Lightweight Network with CNN-Transformer Hybrid Framework
Yuelei Wang, Ting Zhang, Liangjin Zhao +9
In recent years, remote sensing (RS) vision foundation models such as RingMo have emerged and achieved excellent performance in various downstream tasks. However, the high demand f…
DCP-Net: A Distributed Collaborative Perception Network for Remote Sensing Semantic Segmentation
Zhechao Wang, Peirui Cheng, Shujing Duan +4
Onboard intelligent processing is widely applied in emergency tasks in the field of remote sensing. However, it is predominantly confined to an individual platform with a limited o…