AI & Machine Learning
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Computer Vision, Imaging & Video
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Human Computer Interaction
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Researcher Spotlight: Valentina Shin on building powerful, intuitive tools for audio and video
Research Scientist Valentina Shin combines AI and machine learning technologies with intuitive HCI to help users create audio and visual media. We talked to Shin about her research and inspirations, imagining new creative tools that are easier to use, and what she loves about Adobe Research.
Adobe at CHI 2023
Adobe researchers co-authored six papers at the annual ACM CHI Conference on Human Factors in Computing Systems (CHI 2023), which will be held from April 23 to 28 in a hybrid format. Check out the blog post to learn more about Adobe's new work and other contributions.
Behind the Tech: Motion in Adobe Fresco
The Motion feature in Adobe Fresco empowers artists and creators to add motion to individual elements in their artwork. We talked to Adobe Research's Li-Yi Wei and Rubaiat Habib about the "behind the scenes" of this impactful research work.
Content Authenticity and Image Fingerprinting: Q&A with John Collomosse
John Collomosse, Principal Research Scientist at Adobe Research, draws on computer vision, machine learning, and blockchain to create tools that build trust for digital content. In this Q&A, Collomosse shares his work on Content Credentials, image fingerprinting, and more.
Adobe Research at Summit 2023: A peek at the AI-powered tools that will transform marketing and customer experiences
The Adobe Research team helped reveal the future of artificial intelligence and generative AI for the marketing world at Adobe Summit 2023. The team introduced new technologies and ideas that were featured in a keynote, two Sneaks, and several Summit sessions. Check out the article to learn more.
Project Blink: Creating the Future of AI-Powered Video Editing
Project Blink helps users find and quickly pull highlights from video content, making video editing as easy as text editing. Learn about how a cross-disciplinary team led by Adobe Research came together to build this new AI-powered, web-based video editing app.
Boomerangs: Adobe Researchers who came back and helped build Project Blink
Aseem Agarwala, Anh Truong, and Joel Brandt — 3 members of the large team of researchers, engineers, and designers who developed Project Blink — share why they came back to Adobe, what they enjoy most about research-product collaborations, and how the culture helps them to do what they love.
Boomerangs: Adobe Researchers who came back to explore and embrace creativity
Nikos Vlassis and Stephen DiVerdi both spent several years at Adobe Research, left for other opportunities, and returned to dig into new ideas and explore creativity. Learn more about their decisions to come back and the excitement that comes with creating for creative people!
Researcher Spotlight: Taesung Park on using AI to edit images in a whole new way
Research Scientist Taesung Park is using AI and machine learning to transform the old pixel-by-pixel model for editing digital images into something new — image-to-image editing. We talked to Park about the technology behind image-to-image editing, how he helped create the Landscape Mixer feature in Photoshop, and more.
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