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. 

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Natwar Modani

Senior Research Manager

John Collomosse

Principal Scientist

Stefano Petrangeli

Senior Research Scientist

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MeetingBank: A Benchmark Dataset for Meeting Summarization

Hu, Y., Ganter, T., Deilamsalehy, H., Dernoncourt, F., Foroosh, H., Liu, F. (Jul. 14, 2023)

ACL 2023

SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment

Qiu, J., Zhu, J., Xu, M., Dernoncourt, F., Bui, T., Wang, Z., Li, B., Jin, D. (Jul. 14, 2023)

Findings of ACL 2023

EKILA: Synthetic Media Provenance and Attribution for Generative Art

Balan, K., Agarwal, S., Jenni, S., Parsons, A., Gilbert, A., Collomosse, J. (Jun. 21, 2023)

CVPR Workshop on Media Forensics (CVPRW)

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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!