Results 41 to 50 of about 87,177 (263)
Transformer Object Tracking Method Based on Real-Time Dynamic Template Update [PDF]
Jisuanji gongchengTransformer-based object tracking methods are widely used in the field of computer vision and have achieved excellent results. However, object transformations, object occlusion, illumination changes, and rapid object motion can change object information ...
SUN Ziwen, QIAN Lizhi, YUAN Guanglin, YANG Chuandong, LING Chong
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Object-Centric Multiple Object Tracking
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 ICCV 2023 camera-ready ...
Zixu Zhao +15 more
openaire +4 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
FEBS Letters, EarlyView.Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
wiley +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
One-Shot Scale and Angle Estimation for Fast Visual Object Tracking
IEEE Access, 2019 Visual object tracking is the process of tracking an arbitrary object in a video, where the bounding box of the object is given in the first frame. Siamese network-based visual object tracking approaches have recently received considerable attention for ...
Dong-Hyun Lee
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Achieving Adaptive Visual Multi-Object Tracking with Unscented Kalman Filter
Sensors, 2022 As an essential part of intelligent monitoring, behavior recognition, automatic driving, and others, the challenge of multi-object tracking is still to ensure tracking accuracy and robustness, especially in complex occlusion environments.
Guowei Zhang +5 more
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Tracking of rotating objects [PDF]
, 1998 A representation of a three-dimensional object is autonomously learned from a sequence of the rotating object. The representation consists of single views in form of graphs and is achieved by performing a segmentation-based tracking of the object. First we apply a segmentation algorithm which is based on gray level values. This provides the location o£
Gabriele Peters +2 more
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Discerning protein pools by selective staining with self‐labeling tags
FEBS Letters, EarlyView.Cell surface proteins have an intra‐ and extracellular pool. Combining genetic fusion to self‐labeling tags that can be addressed with small molecule fluorophores allows separating these pools. We highlight recent developments and techniques for state‐of‐the‐art interrogation of cell surface proteins in the complex tissue setting.
Kati Fischermanns, Johannes Broichhagen
wiley +1 more source