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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Kuldeep Kulkarni

Research Scientist

Joon-Young Lee

Senior Research Scientist II

Kevin Smith

Senior Research Software Developer

View our latest publicationsView More

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use

Zhang, Z., Rossi, R., Yu, T., Dernoncourt, F., Zhang, R., Gu, J., Kim, S., Chen, X., Wang, Z., Lipka, N. (Jan. 27, 2026)

AAAI 2026

ChartEval: LLM-Driven Chart Generation Evaluation Using Scene Graph Parsing

Goswami, K., Mathur, P., Rossi, R., Dernoncourt, F., Gupta, V., Manocha, D. (Dec. 24, 2025)

IJCNLP-AACL 2025 System Demonstrations

Boosting Camera Motion Control for Video Diffusion Transformers

Cheong, S., Ceylan, D., Mustafa, A., Gilbert, A., Huang, C. (Nov. 24, 2025)

The British Machine Vision Conference (BMVC 2025)

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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!