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Follow the shows, collections and campaigns by Virginie Viard, including the savoir faire of Haute Couture and the Métiers d'art. Discover the CHANEL lifestyle and see the looks worn by the ambassadors of the House. Enter the world of Gabrielle Chanel and the Mademoiselle Privé exhibitions. Listen to podcasts, music and more.
Mar 7, 2019 - Follow the shows, collections and campaigns by Virginie Viard, including the savoir faire of Haute Couture and the Métiers d'art. Discover the CHANEL lifestyle and see the looks worn by the ambassadors of the House. Enter the world of Gabrielle Chanel and the Mademoiselle Privé exhibitions. Listen to podcasts, music and more.
Behind-the-Scenes at the Fashion House in Paris - CHANEL
Jonathan Paciullo captured the pre-show action at Chanel’s Métiers d’Art show in Paris. See every photo here.
Behind the Scenes at Chanel's Pre-Fall 2022 Show in Paris
Welcome to "Origins & Destinations," the ultimate online travel magazine that takes you on a captivating journey to the heart of some must see cities around the globe, with a perfect blend of artis
Origins & Destinations Travel to Paris by Origins & Destinations
The rules of fashion have changed. The new digital era is all about being seen, liked and inspired. Superblogger Victoria Magrath reveals the pivotal moments that have transformed the fashion world, from the Nineties through to the Noughties, and shares insider secrets and practical tips for navigating the ever-changing fashion landscape.
The New Fashion Rules
Vogue was the only guest at Chanel’s Covid-secure show, hosted by Virginie Viard and filmed by Anton Corbijn — actors Marion Cotillard and Penélope Cruz take us backstage.
An Exclusive Look Behind The Scenes At Chanel's SS21 Couture Show
Point cloud learning has recently gained strong attention due to its applications in various fields, like computer vision, robotics, and autonomous driving. Point cloud semantic segmentation (PCSS) enables the automatic extraction of semantic information from 3D point cloud data, which makes it a desirable task for construction-related applications as well. Yet, only a limited number of publications have applied deep-learning-based methods to address point cloud understanding for civil engineering problems, and there is still a lack of comprehensive reviews and evaluations of PCSS methods tailored to such use cases. This paper aims to address this gap by providing a survey of recent advances in deep-learning-based PCSS methods and relating them to the challenges of the construction industry. We introduce its significance for the industry and provide a comprehensive look-up table of publicly available datasets for point cloud understanding, with evaluations based on data scene type, sensors, and point features. We address the problem of class imbalance in 3D data for machine learning, provide a compendium of commonly used evaluation metrics for PCSS, and summarize the most significant deep learning methods developed for PCSS. Finally, we discuss the advantages and disadvantages of the methods for specific industry challenges. Our contribution, to the best of our knowledge, is the first survey paper that comprehensively covers deep-learning-based methods for semantic segmentation tasks tailored to construction applications. This paper serves as a useful reference for prospective research and practitioners seeking to develop more accurate and efficient PCSS methods.
Applied Sciences, Free Full-Text
Jonathan Paciullo captured the pre-show action at Chanel’s Métiers d’Art show in Paris. Scroll through his backstage Chanel coverage here.
Behind The Scenes At Chanel's Pre-Fall 2022 Show In Paris
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