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Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu +10 more
wiley +1 more source
A multidimensional molecular strategy optimizes the tribonegative layer by electrospinning PVDF‐HFP for dipole alignment and crystallinity, followed by 2D borophene doping to enhance conductivity and charge trapping. Integrated with Nylon‐66 nanofibers, the composite device delivers a record sensitivity of 53.8 ± 1.2 V kPa−1 at 3 Hz, enabling ultra ...
Sajib Roy +7 more
wiley +1 more source
Perspective on Aqueous Batteries: Historical Milestones and Modern Revival
This review retraces the development of aqueous batteries from classical Zn‐MnO2 chemistry to modern Zn and Ni systems, correlating voltage, capacity, and electrolyte formulation with practical performance. By mapping historical success and failure onto current and future research directions, it identifies guiding principles that steer the design of ...
Fangwang Ming +5 more
wiley +1 more source
This study demonstrates how the Vimentin intermediate (VIM) filaments distribution/density regulates the attainment of different migration modes through cytoskeleton rearrangement and controls the nuclear morphology in migrating cells under physical confinement, which facilitates the faster traversing of those cells and the growth of post‐migration ...
Md Kowsar Alam +4 more
wiley +1 more source
Omnidirectional Multi-Object Tracking
Panoramic imagery, with its 360° field of view, offers comprehensive information to support Multi-Object Tracking (MOT) in capturing spatial and temporal relationships of surrounding objects.
Kai Luo +8 more
semanticscholar +3 more sources
Bootstrapping Referring Multi-Object Tracking
Referring understanding is a fundamental task that bridges natural language and visual content by localizing objects described in free-form expressions.
Yani Zhang +3 more
semanticscholar +3 more sources
Beyond MOT: Semantic Multi-Object Tracking
Current multi-object tracking (MOT) aims to predict trajectories of targets (i.e., ''where'') in videos. Yet, knowing merely ''where'' is insufficient in many crucial applications.
Yunhao Li +6 more
semanticscholar +3 more sources
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Identity-Quantity Harmonic Multi-Object Tracking
IEEE Transactions on Image Processing, 2022The data association problem of multi-object tracking (MOT) aims to assign IDentity (ID) labels to detections and infer a complete trajectory for each target. Most existing methods assume that each detection corresponds to a unique target and thus cannot handle situations when multiple targets occur in a single detection due to detection failure in ...
Yuhang He +4 more
openaire +2 more sources
SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
ECCV Workshops, 20213D multi-object tracking (MOT) has witnessed numerous novel benchmarks and approaches in recent years, especially those under the"tracking-by-detection"paradigm.
Ziqi Pang, Zhichao Li, Naiyan Wang
semanticscholar +1 more source
Multi object tracking: a survey
Thirteenth International Conference on Digital Image Processing (ICDIP 2021), 2021Multiple target tracking (MTT) or multiple object tracking (MOT), which is a key stage operation for many computer vision applications, has relied and it relies on detecting and identifying targets within videos. The objects of these videos may be, for instance, pedestrians, vehicles or animals regardless of the number of targets or their appearance ...
Sara Bouraya, Abdessamad Belangour
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