167 citations
- Dalian University of TechnologyCN14 papers
- Dalian UniversityCN5 papers
- Nanyang Technological UniversitySG5 papers
- Chinese Academy of SciencesCN3 papers
- Jilin Province Science and Technology DepartmentCN3 papers
- Jilin UniversityCN3 papers
- Liaoning Normal UniversityCN3 papers
- Peng Cheng LaboratoryCN3 papers
- Shandong UniversityCN3 papers
- Shenzhen Institutes of Advanced TechnologyCN3 papers
- University of Chinese Academy of SciencesCN3 papers
- University of HaifaIL3 papers
19 papers · 1 filter
DMSORT: An efficient parallel maritime multi-object tracking architecture for unmanned vessel platforms
Shengyu Tang, Zeyuan Lu, Jiazhi Dong +4
Accurate perception of the marine environment through robust multi-object tracking (MOT) is essential for ensuring safe vessel navigation and effective maritime surveillance. Howev…
CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment
Kanglei Zhou, Junlin Li, Ruizhi Cai +3
Action Quality Assessment (AQA) is pivotal for quantifying actions across domains like sports and medical care. Existing methods often rely on pre-trained backbones from large-scal…
Deep Blind Super-Resolution for Satellite Video
Yi Xiao, Qiangqiang Yuan, Qiang Zhang +1
Recent efforts have witnessed remarkable progress in Satellite Video Super-Resolution (SVSR). However, most SVSR methods usually assume the degradation is fixed and known, e.g., bi…
Grouped Adaptive Loss Weighting for Person Search
Yanling Tian, Di Chen, Yunan Liu +2
Person search is an integrated task of multiple sub-tasks such as foreground/background classification, bounding box regression and person re-identification. Therefore, person sear…
Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing
Lianru Gao, Zhicheng Wang, Lina Zhuang +3
Tensor-based methods have been widely studied to attack inverse problems in hyperspectral imaging since a hyperspectral image (HSI) cube can be naturally represented as a third-ord…
Deep Learning Techniques for In-Crop Weed Identification: A Review
Kun Hu, Zhiyong Wang, Guy Coleman +6
Weeds are a significant threat to the agricultural productivity and the environment. The increasing demand for sustainable agriculture has driven innovations in accurate weed contr…