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Mid Air Circus Arts (MACA) is a multifaceted aerial arts and flying trapeze institution based in Phuket, Thailand. They function as a premier educational academy, a specialized equipment manufacturer, and a provider of high-end event entertainment. Their long-term mission is to cultivate and support the aerial arts ecosystem across Asia and the globe by serving as a comprehensive destination for training, professional-grade rigging, and elite performance artistry.
MACA's competitive advantage lies in its seamless integration of the circus arts lifecycle. By offering everything from beginner classes to professional showcases—and crucially, manufacturing their own top-tier flying trapeze and aerial equipment—they eliminate the friction performers face when sourcing safe, reliable gear in the Asian market. Their adherence to the highest international safety standards provides profound peace of mind to students, professionals, and event organizers alike, establishing MACA as a trusted authority in a high-risk discipline.
Founded in 2011, MACA is spearheaded by a dedicated team of circus professionals. Key leadership includes Adam, who serves as Director, Senior Aerial/Trapeze Instructor, Expert Rigger, and Events Manager, alongside Sam, a Senior Aerial Instructor and Lead Choreographer. The organization's culture is deeply rooted in safety, encouragement, and an enduring passion for the exhilarating world of circus arts.
MACA occupies a unique position as a 'Category Creator' in Southeast Asia. By bridging the gap between education, manufacturing, and agency services, they have become the established, premier authority in the region, unparalleled in their holistic approach to the circus arts.
Flying trapeze and aerial arts classes for all levels, from complete beginners to budding professionals.
Top-quality flying trapeze and aerial equipment manufactured and exported for professional and amateur performers.
Customized, elegant, and professional aerial entertainment for events.
Official implementation of the network presented in the paper "A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles"
Dataloaders for the Mid-Air and TartanAir datasets for various depth estimation methods
Official implementation of the network presented in the paper "Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments"
This is the UNOFFICIAL implementation of the ICCV 2019 paper 'Exploiting Temporal Consistency for Real-Time Video Depth Estimation'.
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth
[ICCV 2019] Monocular depth estimation from a single image with a dataloader for the Mid-Air dataset
Unsupervised single image depth prediction with CNNs
Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research
This repository contains the results of developments made to obtain the Master's degree in Electrical Engineering at the University of Liège
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