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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Saayan Mitra

Principal Research Scientist

John Collomosse

Senior Principal Scientist

Sambaran Bandyopadhyay

Research Scientist II

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MultiMat: Multimodal Program Synthesis for Procedural Materials using Large Multimodal Models

Belouadi, J., Boubekeur, T., Kaiser, A. (Apr. 25, 2026)

ICLR 2026

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

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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!