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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Hrituraj Singh

Research Scientist/Engineer

Tak Yeon Lee

Research Scientist

Natwar Modani

Senior Research Manager

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Towards Transparent and Explainable Attention Models

Mohankumar, A., Nema, P., Narasimhan, S., Khapra, M., Srinivasan, B., Ravindran, B. (Jul. 5, 2020)

58th Annual Meeting of the Association for Computational Linguistics (ACL)

Beyond Positive Emotion: Deconstructing Happy Moments based on Writing Prompts

Jaidka, K., Chhaya, N., Mumick, S., Killingsworth, M., Halevy, A., Ungar, L. (Jun. 8, 2020)

The 14th International Conference on Web and Social Media (ICWSM)

TutorialVQA: Question Answering Dataset for Tutorial Videos

Colas, A., Kim, S., Dernoncourt, F., Gupte, S., Wang, Z., Kim, D. (May. 12, 2020)

LREC 2020

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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!