Revisiting Frank and Lillian Gilbreth’s motion study principles reveals that 'therblig' micro-movements aren't just tools for industrial speed; they are the key to eliminating soft-tissue strains and ...
Leaders often assume that their way of working is the best way. But employees differ in their preferred work styles. Learn ...
If you’ve ever watched a motion capture system struggle with a person’s fingers, or seen a segmentation model fail to distinguish teeth from gums, you already understand why human-centric computer ...
The Galaxy S26 series introduces the Exynos 2600 chip with a dedicated Visual Perception System (VPS). This AI-based subsystem uses semantic segmentation and CAX technology to fix issues in real ...
Subsea applications recently received increasing attention due to the global expansion of offshore energy, seabed infrastructure, and maritime activities; complex inspection, maintenance, and repair ...
Abstract: With the emergence of Vision Transformers, attention-based modules have demonstrated comparable or superior performance in comparison to CNNs on various vision tasks. However, limited ...
We introduce the Fast Algorithm for Motion Correction (FALCON) software, which allows correction of both rigid and nonlinear motion artifacts in dynamic whole-body (WB) images, irrespective of the PET ...
This is the official repository of the CMFlow, a cross-modal supervised approach for estimating 4D radar scene flow. For technical details, please refer to our paper on CVPR 2023: To find out how to ...
seg1d is an open-source Python package for the automated segmentation of one-dimensional data using one or more reference segments. The segmentation process allows users to apply various methods and ...
More than 120 million mice and rats are used yearly for scientific purposes. While tracking their motion behaviors has been an essential issue for the past decade, present techniques, such as ...
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