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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Xiang Chen

Research Scientist

Niyati Chhaya

Sr. Research Scientist

Zhe Lin

Senior Principal Research Scientist

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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)

Joint Learning of 3D Shape Retrieval and Deformation

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

CVPR

MIMOQA: Multimodal Input Multimodal Output Question Answering

Singh, H., Nasery, A., Mehta, D., Agarwal, A., Lamba, J., Srinivasan, B. (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!