45 citations
- Beihang UniversityCN1 paper
- Centre Technique des Industries MécaniquesFR1 paper
- China National Building Materials Group (China)CN1 paper
- Colorado School of MinesUS1 paper
- École Centrale de NantesFR1 paper
- Harbin Engineering UniversityCN1 paper
- Hong Kong Polytechnic UniversityHK1 paper
- Informatique, BioInformatique, Systèmes ComplexesFR1 paper
- Nantes UniversitéFR1 paper
- Nanyang Technological UniversitySG1 paper
- Pennsylvania State UniversityUS1 paper
- Sinoma Science & Technology Co., Ltd. (China)1 paper
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cs.CV2025★ 17 cited
LXLv2: Enhanced LiDAR Excluded Lean 3D Object Detection with Fusion of 4D Radar and Camera
Weiyi Xiong, Zean Zou, Qiuchi Zhao +2
As the previous state-of-the-art 4D radar-camera fusion-based 3D object detection method, LXL utilizes the predicted image depth distribution maps and radar 3D occupancy grids to a…
cs.CV2024★ 28 cited
Open World Object Detection: A Survey
Yiming Li, Yi Wang, Wenqian Wang +3
Exploring new knowledge is a fundamental human ability that can be mirrored in the development of deep neural networks, especially in the field of object detection. Open world obje…
cs.CV2023★ 10 cited
DH-PTAM: A Deep Hybrid Stereo Events-Frames Parallel Tracking And Mapping System
Abanob Soliman, Fabien Bonardi, Désiré Sidibé +1
This paper presents a robust approach for a visual parallel tracking and mapping (PTAM) system that excels in challenging environments. Our proposed method combines the strengths o…