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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Somdeb Sarkhel

Research Scientist

John Collomosse

Principal Scientist

Kuldeep Kulkarni

Research Scientist

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Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution

Maheshwari, H., Bandyopadhyay, S., Garimella, A., Natarajan, A. (Nov. 12, 2024)

The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024

SegGuard: Defending Scene Segmentation against Adversarial Patch Attack

Gittings, T., Schneider, S., Collomosse, J. (Oct. 27, 2024)

International Conference on Image Processing (ICIP)

Self-supervised disentangled representation learning of artistic style through Neural Style Transfer

Ruta, D., Tarres, G., Black, A., Gilbert, A., Collomosse, J. (Oct. 1, 2024)

European Conference on Computer Vision (ECCVW) Workshop on Vision and Art (VISART)

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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!