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. 

Publications

All Publications
July 11, 2022 Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Curriculum Learning for Dense Retrieval Distillation

Hansi Zeng, Hamed Zamani, Vishwa Vinay

November 1, 2021 Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021

Generating Compositional Color Representations from Text

Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay

August 2, 2021 Findings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)

Domain-Aware Dependency Parsing for Questions

Aparna Garimella, Laura Chiticariu, Yunyao Li

July 19, 2020 SIGGRAPH

Neural Subdivision

Hsueh-Ti Liu, Vladimir (Vova) Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson

September 3, 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)

Pre-trained Affective Word Representations

Kushal Chawla, Sopan Khosla, Niyati Chhaya, Kokil Jaidka

March 16, 2019 24th ACM International Conference on Intelligent User Interfaces (IUI 2019)

Exemplar based Experience Transfer

Paridhi Maheshwari, Nitish Bansal, Surya Dwivedi, Rohan Kumar, Pranav Maneriker, Balaji Vasan Srinivasan