How do we best construct game avatars from photos? There’s a great deal of interest in personalizing game avatars with photos of players’ faces. Training an ML model to predict 3D facial parameters from a photo requires abundant training data. This presentation by SEED’s Igor Borovikov discusses a work in progress with an optimized view of the training data. Igor’s presentation was delivered at the Center for Advanced Signal and Image Sciences (CASIS) 28th Annual Workshop on 5 June 2024, which was held at the Lawrence Livermore National Laboratory. Watch the presentation and download the presentation deck. https://lnkd.in/gmUVXkfu
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User Manuals & Guides Have Been Around for Eons. One of the earliest known user guides was found carved on the back of the Antikythera Mechanism, a 2,000-year-old ancient Greek device used to predict astronomical events. Since then, we’ve evolved from paper manuals to mobile-friendly formats that users can access with just a tap on their screens. What do you think is next? Holographic instructions? Virtual or augmented reality? Let us Know! #manual #userexperience #instruction #instructionaldesign #languageservices
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Empowering Professionals for Success in AI, Marketing & Digital Transformation | Leader in Data Science Education & Industry Innovation
TikTok , The University of Hong Kong and Zhejiang University have unveiled 'Depth Anything,' a revolutionary Monocular Depth Estimation (MDE) model that's set to redefine how we perceive depth in images. Trained on a massive dataset of 1.5 million labeled and over 62 million unlabeled images, Depth Anything is a giant leap forward in the field of MDE. Monocular Depth Estimation can estimate the depth value of each pixel in a single RGB image, creating a 3D perception from a flat photograph. The result is absolutely stunning compared to MiDaS from PyTorch ! 🫨 #MDE #DepthPerception #YobiAI ~~ If you found this helpful, consider 𝐑𝐞𝐬𝐡𝐚𝐫𝐢𝐧𝐠 ♻️ and follow me Dr. Oualid S. for more content like this.
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Check out a new series of Jonathan's work called 'Paradox of Progress' on show for the first time in Gabriel Scott's London showroom on Old Burlington Street. This excellent new exhibition also includes work by Wolfe von Lenkiewicz and Henry Hudson and was curated by Virginia Damtsa. ____________________________________________ "This body of work is a playful exploration of the disparity between how machines see us and how we see ourselves. Jonathan Yeo’s ongoing experiments with creative technologies perfectly complements his portrait practice here by using a unique combination of painting techniques and imagery derived from a 3D scanner. By deliberately exaggerating the head movements while capturing depth data on early 3D, and therefore confusing the sensor’s efforts to capture accurate data, Jonathan was able to manipulate the outcomes and create painterly abstractions. The AI algorithms within the software that aim to map facial features and colour information onto a 3d model were being stretched beyond their capability, resulting in self portraits that have a unique and energetic quality. Since making these scans, the AI and scanning software has continued to be updated, meaning that the output is now more realistic and arguably much less interesting. These works therefore depict a “paradox of progress”, in other words a specific window in the evolution of technology where subsequent advances produce less desirable results." Jonathan Yeo
"Jonathan Yeo Studio's exploration of the power dynamics between humanity and technology evokes a strategic chess game, where the outcome remains uncertain. Known for his radical approach to portraiture, Yeo presents a captivating series that transcends conventional identity. By employing 3D scanning technology and algorithms to reimagine self-portraiture, Yeo's canvases blur the boundaries between the tangible and the virtual. This invites viewers to question the authenticity of representation in our technologically driven world." Discover Yeo's work at the "AI and Technology Influence on Contemporary" exhibition launching at Gabriel Scott's London showroom on 1st May. Read more: https://lnkd.in/e_HrftpZ
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Happy Pi and International Mathematics Day from all of us at VRPA Technologies! Today, let's celebrate the beauty of numbers and the endless possibilities they bring to our world. 🥧📐 #PiDay #MathematicsDay #VRPATechnologies
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Guiding educators through the practical and ethical implications of GenAI. Consultant & Author | PhD Candidate | Director @ Young Change Agents & Reframing Autism
Applications for robotics, computer vision, multimodal AI: these are the kinds of datasets we’re going to see more and more of in the coming years. #ai #aieducation
Together with the Ego4D consortium, today we're releasing Ego-Exo4D, the largest ever public dataset of its kind to support research on video learning & multimodal perception. Download the dataset ➡️ https://bit.ly/3tiS3Ob More details ➡️ https://bit.ly/3RsWkIb The dataset features over 1,400 hours of videos of skilled human activities collected across 13 cities by 800+ research participants. Using Meta’s Project Aria, the dataset also includes: • Time-aligned seven-channel audio • IMU • Eye gaze • Head poses • 3D point clouds of the environment This work was made possible by collaboration between FAIR, Meta’s Project Aria and 15 university partners.
Ego-Exo4D: The largest ever public dataset of its kind to support research on video learning & multimodal perception
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Imagine the transformative power of this AI with AR goggles in your factory. These aren't just ordinary goggles; they're a game-changer because of the AI data set. With some fine-tuning and training in your factory this system will be equipped to optimize and guide your staff at every step, they're set to revolutionize how we work. The impact? A significant boost in overall productivity, paired with enhanced worker safety. It's a win-win. What excites me most is the potential ease and simplicity these goggles bring to the factory floor. Employees will have access to an expert advisor, constantly at their beck and call, making their workday less cumbersome and more efficient. This is what embracing the future looks like. Let's tap into this innovative technology and unleash the full corporate potential in our factories. The future is here, and it's time to make the most of it. Want to implement AI in your factory? Just head to my website or write me an in-message and receive a free consultation. https://lnkd.in/dZH9zad6 #ARTechnology #FactoryInnovation #FutureOfWork"
Together with the Ego4D consortium, today we're releasing Ego-Exo4D, the largest ever public dataset of its kind to support research on video learning & multimodal perception. Download the dataset ➡️ https://bit.ly/3tiS3Ob More details ➡️ https://bit.ly/3RsWkIb The dataset features over 1,400 hours of videos of skilled human activities collected across 13 cities by 800+ research participants. Using Meta’s Project Aria, the dataset also includes: • Time-aligned seven-channel audio • IMU • Eye gaze • Head poses • 3D point clouds of the environment This work was made possible by collaboration between FAIR, Meta’s Project Aria and 15 university partners.
Ego-Exo4D: The largest ever public dataset of its kind to support research on video learning & multimodal perception
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As in many challenges, the main issue is not the model's architecture nor the hyper-parammaters of the optimizer. But rather the quality and the quantity of the data for the task at hand. Recording such a data set and annotating it (!), is a massive financial and technical challenge. What is the potential of models trained with this kind of super informative data? Can't wait to find out 🤩🙃
Together with the Ego4D consortium, today we're releasing Ego-Exo4D, the largest ever public dataset of its kind to support research on video learning & multimodal perception. Download the dataset ➡️ https://bit.ly/3tiS3Ob More details ➡️ https://bit.ly/3RsWkIb The dataset features over 1,400 hours of videos of skilled human activities collected across 13 cities by 800+ research participants. Using Meta’s Project Aria, the dataset also includes: • Time-aligned seven-channel audio • IMU • Eye gaze • Head poses • 3D point clouds of the environment This work was made possible by collaboration between FAIR, Meta’s Project Aria and 15 university partners.
Ego-Exo4D: The largest ever public dataset of its kind to support research on video learning & multimodal perception
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Ever Wondered How AI Learns Human Skills? Meta’s FAIR and 15 university partners unveil Ego-Exo4D, an innovative dataset capturing "egocentric" and "exocentric" views. This two-year effort introduces a benchmark suite for video learning and multimodal perception. With 1,400+ hours of synchronized first- and third-person data, including audio and multimodal cues, Ego-Exo4D revolutionizes AI's comprehension of complex human activities. How will this research reshape AR, robot learning, social networks, and the future of AI understanding? Check out the article here ➡️ https://bit.ly/3RsWkIb AI at Meta #datascience #ai #aiadvancements #machinelearning #ar #artificialintelligence
Together with the Ego4D consortium, today we're releasing Ego-Exo4D, the largest ever public dataset of its kind to support research on video learning & multimodal perception. Download the dataset ➡️ https://bit.ly/3tiS3Ob More details ➡️ https://bit.ly/3RsWkIb The dataset features over 1,400 hours of videos of skilled human activities collected across 13 cities by 800+ research participants. Using Meta’s Project Aria, the dataset also includes: • Time-aligned seven-channel audio • IMU • Eye gaze • Head poses • 3D point clouds of the environment This work was made possible by collaboration between FAIR, Meta’s Project Aria and 15 university partners.
Ego-Exo4D: The largest ever public dataset of its kind to support research on video learning & multimodal perception
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