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Adobe Research at CVPR 2018: Sharing New Work in Computer Vision

Adobe Research shared our latest computer vision discoveries at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), held this June in Salt Lake City. Attracting an international audience of scholars and industry representatives, CVPR is one of the premier events for showcasing cutting-edge research in this field....

Image Stylization: History and Future (Part 1)

This three-part series of blog posts tells the story (so far) of image stylization algorithms. This first post delves into some of the earliest stylization methods: procedural filters.

Researcher Spotlight: Duygu Ceylan

Duygu Ceylan, a research scientist at Adobe Research in San Jose, works at the cutting edge of 3D. She is finding new ways to capture the three-dimensional shape and mechanics of human motion.

With Deep Learning, Computers See Images More Like Humans Do

Scientists asked: Can deep learning distinguish subtle differences between images more like humans do? The answer: Yes. Even self-supervised neural networks work better than prior algorithms designed for this purpose.

AI Can Generate Realistic Sound for Video Clips

Researchers used neural networks to create realistic sound for videos from scratch. The system’s soundtracks fooled humans into thinking they were real.

Researcher Spotlight: Balaji Vasan Srinivasan

Senior research scientist Balaji Vasan Srinivasan was the first external hire at Adobe Research’s Bangalore lab in 2011. He focuses on enabling computers to generate content and create layouts using artificial intelligence. We asked him about his career path, his work training machines to write and design content, and what...

Tap into AI to Improve Video Ads

Can AI help marketers improve video ads, increasing their effectiveness with specific audiences? Adobe Research scientists asked this big question—and have designed a novel technology to answer it.

Adobe Research Papers Featured in Upcoming Conferences

Adobe has achieved a remarkable acceptance rate for research papers at several highly-selective conferences this spring. These conferences serve as key platforms for sharing breakthroughs with the research community.

Sonic Scape: Visualizing Sound for 360 Video

Sonic Scape helps 360 video editors “see” ambisonic sounds in a video using color particles, enabling a unique style of visual editing of the sound’s origin in space and time.