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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Balaji Vasan Srinivasan

Principal Scientist

Somdeb Sarkhel

Research Scientist

Aseem Agarwala

Senior Principal Scientist

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A Framework for Knowledge-Derived Query Suggestions

Rezayi, S., Lipka, N., Vinay, V., Rossi, R., Dernoncourt, F., King, T., Li, S. (Dec. 17, 2021)

2021 IEEE International Conference on Big Data

Inspiration Retrieval for Visual Exploration

Jain, N., Vaddamanu, P., Maheshwari, P., Vinay, V., Kulkarni, K. (Dec. 13, 2021)

NeurIPS 2021 Workshop on Machine Learning for Creativity and Design

VPN: Video Provenance Network for Robust Content Attribution

Black, A., Bui, T., Jenni, S., Swaminathan, V., Collomosse, J. (Dec. 6, 2021)

International Conference on Computer Vision in Media Production (CVMP)

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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!