5 citations · 6 across the 9 of their papers we have counts for
10 papers · 1 filter
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…
SA-Occ: Satellite-Assisted 3D Occupancy Prediction in Real World
Chen Chen, Zhirui Wang, Taowei Sheng +8
Existing vision-based 3D occupancy prediction methods are inherently limited in accuracy due to their exclusive reliance on street-view imagery, neglecting the potential benefits o…
SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing
Chen Chen, Liangjin Zhao, Yuanchun He +5
Semantic segmentation and 3D reconstruction are two fundamental tasks in remote sensing, typically treated as separate or loosely coupled tasks. Despite attempts to integrate them…
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…
UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection
Yuchao Wang, Peirui Cheng, Pengju Tian +6
With the advancement of collaborative perception, the role of aerial-ground collaborative perception, a crucial component, is becoming increasingly important. The demand for collab…
SDL-MVS: View Space and Depth Deformable Learning Paradigm for Multi-View Stereo Reconstruction in Remote Sensing
Yong-Qiang Mao, Hanbo Bi, Liangyu Xu +4
Research on multi-view stereo based on remote sensing images has promoted the development of large-scale urban 3D reconstruction. However, remote sensing multi-view image data suff…
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…
Twin Deformable Point Convolutions for Point Cloud Semantic Segmentation in Remote Sensing Scenes
Yong-Qiang Mao, Hanbo Bi, Xuexue Li +4
Thanks to the application of deep learning technology in point cloud processing of the remote sensing field, point cloud segmentation has become a research hotspot in recent years,…
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…