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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Aseem Agarwala

Senior Principal Scientist

Zhe Lin

Senior Principal Research Scientist

Natwar Modani

Senior Research Manager

View our latest publicationsView More

Joint Learning of 3D Shape Retrieval and Deformation

Uy, M., Kim, V., Sung, M., Aigerman, N., Chaudhuri, S., Guibas, L. (Jun. 19, 2021)

CVPR

DECOR-GAN: 3D Shape Detailization by Conditional Refinement

Chen, Z., Kim, V., Fisher, M., Aigerman, N., Zhang, H., Chaudhuri, S. (Jun. 19, 2021)

CVPR (oral)

Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus

Goyal, N., Srinivasan, B., Natarajan, A., Sancheti, A. (Jun. 6, 2021)

2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL - HLT)

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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!