Computer Vision, Imaging & Video

Adobe Research creates new technologies in computer vision and imaging, including breakthroughs in image search, organization, editing, and generation. Our scientists and engineers tackle problems such as object, text, and face detection, segmentation, person recognition, image quality, captioning, denoising, and deblurring. Many of our approaches tap into deep learning to empower creative image editing. 

We also focus on video enhancement, analysis, synthesis, and understanding. We are interested in research problems such as video object segmentation, stabilization, generation, recognition, joint audio and video understanding, compression, and delivery. We seek to empower our users to create compelling video content and help our customers to maximize the value of their videos through next-generation experiences, analytics, and data-driven enhancement to video creation and monetization. 

Meet some of our researchersView More

Paul Guerrero

Research Scientist

Kuldeep Kulkarni

Research Scientist

Yannick Hold-Geoffroy

Research Engineer

View our latest publicationsView More

Neural Subdivision

Liu, H., Kim, V., Chaudhuri, S., Aigerman, N., Jacobson, A. (Jul. 19, 2020)

SIGGRAPH

Batch Decorrelation for Active Metric Learning

Priyadarshini, K., Chaudhuri, S., Chaudhuri, S. (Jul. 11, 2020)

IJCAI-PRICAI

Neural Cages for Detail-Preserving 3D Deformations

Wang, Y., Aigerman, N., Kim, V., Chaudhuri, S., Sorkine-Hornung, O. (Jun. 16, 2020)

CVPR (oral)

Create 3D Photos with a Still Image

Project Moving Stills, led by researcher Long Mai, enables any photograph to be turned into a “live photo,” animating the image in 3D and simulating a realistic effect of flying through the photo. This experimental effort uses deep learning to generate videos from a single still image.

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Join us!

We are looking for researchers, engineers, and interns to take our technologies to the next level. We're recruiting, and we would love to hear from you!