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Content Intelligence

The abundant availability of rich content and consumer reaction to content creates exciting research opportunities spanning natural language processing, computer vision, computational linguistics, information retrieval, psychographics, and consumer psychology. At Adobe Research, we work on future-looking content intelligence technologies that can automatically synthesize experiences across multiple content modalities (text, pictures, graphics, and videos) based on a deep understanding of the end-user and enterprise personality. 

Meet some of our researchersView More

Haoliang Wang

Research Scientist

Xiang Chen

Research Scientist

Sungchul Kim

Data Scientist

View our latest publicationsView More

Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis

Mittal, T., Sinha, R., Swaminathan, V., Collomosse, J., Manocha, D. (Jan. 4, 2023)

IEEE/CVF Winter Conf. on Applications of Computer Vision (WACV-W)

Audio-Visual Contrastive Learning with Temporal Self-Supervision

Jenni, S., Black, A., Collomosse, J., Collomosse, J. (Jan. 4, 2023)

AAAI Conference on Artificial Intelligence (AAAI)

Agent-specific Deontic Modality Detection in Legal Language

Sancheti, A., Garimella, A., Srinivasan, B., Rudinger, R. (Dec. 7, 2022)

Empirical Methods in Natural Language Processing (EMNLP)

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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!