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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Aparna Garimella

Research Scientist

Kuldeep Kulkarni

Research Scientist

Sambaran Bandyopadhyay

Research Scientist II

View our latest publicationsView More

A Large-scale Training Paradigm for Graph Generative Models

Wang, Y., Rossi, R., Park, N., Chen, H., Ahmed, N., Trivedi, P., Dernoncourt, F., Koutra, D., Derr, T. (Apr. 28, 2025)

ICLR 2025

VideoMix: Aggregating How-To Videos for Task-Oriented Learning

Yang, S., Truong, A., Kim, J., Li, D. (Mar. 28, 2025)

IUI 2025

ActAnywhere: Subject-Aware Video Background Generation

Pan, B., Xu, Z., Huang, C., Singh, K., Zhou, Y., Guibas, L., Yang, J. (Dec. 10, 2024)

Neural Information Processing Systems (NeurIPS)

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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!