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

Seoung Wug Oh

Research Scientist

Cameron Smith

Machine Learning Research Engineer

Seth Walker

Senior Experience Designer

View our latest publicationsView More

Scaling Up Video Summarization Pretraining with Large Language Models

Argaw, D., Yoon, D., Heilbron, F., Deilamsalehy, H., Bui, T., Wang, Z., Dernoncourt, F., Chung, J. (Jun. 21, 2024)

CVPR 2024

Synergistic Global-space Camera and Human Reconstruction from Videos

Zhao, Y., Wang, T., Raj, B., Xu, M., Yang, J., Huang, C. (Jun. 17, 2024)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck

Pham, T., Chen, P., Nguyen, T., Yoon, D., Bui, T., Nguyen, A. (Jun. 16, 2024)

NAACL 2024 Findings

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!