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Welcome to  Research!

With a team of world-class research scientists, engineers, artists, and designers, Adobe Research blends cutting-edge academic discovery with industry impact. Our scientists and engineers shape early-stage ideas into innovative technologies. Many of our researchers’ discoveries are incorporated into Adobe’s products, building the company’s reputation as a leader in fostering new forms of creativity and a pioneer in content and data intelligence. They collaborate with colleagues at more than 50 universities, presenting their work at international conferences.

Today,  Research is growing in new areas, including AI, machine learning, virtual reality, augmented reality, immersive media, computer-human interaction, systems technologies, document intelligence, data science, video advertising, and customer intelligence.



Research Areas

Learn more about our cutting-edge research

Research Publications

We publish research at major graphics, computer vision, computer-human interaction, machine learning, AI, and data science conferences


We host research interns from around the world

Innovative People

Our researchers are advancing the state-of-the-art across a range of fields

Product Impact

We create innovative features for Adobe's products showcased at Adobe MAX and Summit

University Collaborations

We collaborate with prominent university faculty and students

Invention & Discovery

Our scientists file groundbreaking patents on their discoveries

Awards & Honors

Our scientists and engineers have won prestigious awards

Fellowships & ScholarshipsResearch nurtures future technical leaders

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Research is a team of world-class research scientists, engineers, artists, and designers uniting cutting-edge academic discovery with industry impact. We shape experimental ideas into innovative technologies for Adobe’s products, building the company’s reputation as a pioneer in content and data intelligence. Our team collaborates with colleagues at universities around the world, presenting publications at international conferences. Explore our research areas below to learn more about  Research’s work.


Artificial Intelligence & Machine Learning

AR, VR & 360 Photography


Computer Vision, Imaging & Video

Content Intelligence

Data Intelligence

Document Intelligence

Graphics (2D & 3D)

Human Computer Interaction

Intelligent Agents & Assistants

Natural Language Processing

Systems & Languages


Research is always hiring student interns, research scientists, and research engineers in the United States. We are also seeking candidates for full time positions in Bangalore, India and for our Research Programs division in San Jose.


  • For PhD and masters students applying for a student internship, please send an email to with your CV, a list of your research interests, and names of specific researchers or engineers you would like to work with. See our Internships Program for more details.

  • To apply for a full-time position, please send your CV, research statement (or cover letter), list of publications and a short list of references, to For more details on these positions, please see the Join Research page.

  • For more details on other full time positions please see the Join  Research page.

  • Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. Learn more ›

Within the United States, Adobe Research hires in several locations: San Jose; San Francisco; Seattle; Cambridge, Massachusetts; College Park, Maryland. We also hire in and London and in Bangalore, India.

The San Jose lab is located in Adobe’s corporate headquarters in downtown San Jose, in the heart of Silicon Valley, within walking distance to cultural attractions and dining. San Jose has a mild climate, ideal for enjoying outdoor activities, such as running, cycling and sailing. San Jose is one hour from Santa Cruz and San Francisco.

The San Francisco lab is located in the South of Market district, near the AT&T Ballpark and the waterfront, and a short walking distance from the CalTrain station. San Francisco is known worldwide as a top destination for visitors, who enjoy the city’s beautiful neighborhoods, world-class entertainment, shopping and dining.

The Seattle lab is located in the chic Fremont area, directly on the water (you can kayak to work!). Summer in Seattle is sunny and beautiful, and our building is surrounded by a vibrant urban environment, including parks, restaurants, and cafés, with many a “happy hour” and outdoor terrace to choose from.

The Cambridge, Massachusetts lab is located in the Cambridge Innovation Center on Kendall Square, just steps away from the Kendall/MIT MBTA Red Line station and MIT’s computer science department, with expansive views of Cambridge and Boston across the Charles River.

The other US lab is located in College Park, Maryland, home to the University of Maryland’s main campus. This location is also very close to Washington, DC.

 Research has also established a lab in London in Adobe’s Shoreditch office, located on the “Silicon Roundabout” in London’s Tech City, a hive of innovation and the third-largest technology cluster in the world after the San Francisco Bay Area and New York City.

The India lab is located on the Bangalore campus of Adobe India. Known as the “Silicon Valley of India,” Bangalore boasts the highest concentration of IT companies in the country. It has a pleasant climate throughout the year. It’s a great place for craft beer and quirky independent cafes. You will find plenty of parks, museums, temples, and shopping malls in the city, known officially as “Bengaluru.”


Published June 8, 2020

Beyond Positive Emotion: Deconstructing Happy Moments based on Writing Prompts

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

Kokil Jaidka, Niyati Chhaya, Saran Mumick, Matthew Killingsworth, Alon Halevy, Lyle Ungar

Published May 14, 2020

Exploiting the Matching Information in the Support Set for Few Shot Event Classification

PAKDD 2020

Viet Lai, Franck Dernoncourt, Thien Nguyen

Published May 12, 2020

Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition

LREC 2020

Xiaolei Huang, Linzi Xing, Michael J. Paul, Franck Dernoncourt

Published May 12, 2020

A Corpus for Detecting High-Context Clinical Indications in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients

LREC 2020

Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote, Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi

Published May 12, 2020

TutorialVQA: Question Answering Dataset for Tutorial Videos

LREC 2020

Anthony Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Zhe Wang, Doo Soon Kim

Published May 12, 2020

Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks

LREC 2020

Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung

Published April 25, 2020

TurkEyes: A Web-Based Toolbox for Crowdsourcing Attention Data

ACM CHI Conference on Human Factors in Computing Systems

Anelise Newman, Barry McNamara, Camilo Fosco, Yun Bin Zhang, Pat Sukhum, Matthew Tancik, Nam Wook Kim, Zoya Bylinskii

Published April 25, 2020

ICONATE: Automatic Compound Icon Generation and Ideation

ACM CHI Conference on Human Factors in Computing Systems

Nanxuan Zhao, Nam Wook Kim, Laura Mariah Herman, Hanspeter Pfister, Rynson W.H. Lau, Jose Echevarria, Zoya Bylinskii

Published April 24, 2020

Autocomplete Element Fields

CHI 2020

Chen-Yuan Hsu, Li-Yi Wei, Lihua You, Jian Jun Zhang

Published April 20, 2020

Modeling Causal Impact of Textual Style on a Targeted Goal

The Web Conference (WebConf) - Poster

Gaurav Verma, Balaji Vasan Srinivasan, Shiv Saini, Niyati Chhaya

Published April 14, 2020

Using Image Captions and Multitask Learning for Recommending Query Reformulations

European Conference on Information Retrieval (ECIR)

Gaurav Verma, Vishwa Vinay, Sahil Bansal*, Shashank Oberoi*, Makkunda Sharma*, Prakhar Gupta

Published April 14, 2020

Reinforced Rewards Framework for Text Style Transfer

European Conference on Information Retrieval (ECIR)

Abhilasha Sancheti, Kundan Krishna, Anandhavelu Natarajan, Balaji Vasan Srinivasan

Published April 14, 2020

Session-based Path Prediction by Combining Local and Global Content Preferences

European Conference on Information Retrieval (ECIR)

Kushal Chawla, Niyati Chhaya

Published March 17, 2020

Generating Need-Adapted Multimodal Fragments

ACM Conference on Intelligent User Interfaces (ACM IUI)

Gaurav Verma, Suryateja BV, Samagra Sharma, Balaji Vasan Srinivasan

Published March 17, 2020

Recommendation for Video Advertisements based on Personality Traits and Companion Content

ACM Conference on Intelligent User Interfaces (ACM IUI)

Sanorita Dey, Brittany R.L. Duff, Niyati Chhaya, Wai Fu, Vishy Swaminathan, Karrie Karahalios

Published March 2, 2020

LEAF-QA: Locate, Encode & Attend for Figure Question Answering

Winter Conference on Applications of Computer Vision

Ritwick Chaudhry, Sumit Shekhar, Utkarsh Gupta, Prann Bansal, Ajay Shridhar Joshi, Pranav Maneriker

Published February 12, 2020

A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency

AAAI 2020

Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen

Published February 12, 2020

Multi-view Consistency for Relation Extraction via Mutual Information and Structure Prediction

AAAI 2020

Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen

Published February 8, 2020

DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator

AAAI 2020 Dialog System Technology Challenge (DSTC8)

Seunghyun David Yoon, Hwanhee Lee, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung

Published February 7, 2020

Adapting Language Models for Non-Parallel Author-Stylized Rewriting

34th AAAI Conference on Artificial Intelligence

Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma







Adobe Research Fellowship

Adobe Research | Women-in-Technology Scholarship

Women-in-Technology Scholarship


Distinguished Lecture Series

Data Science Research Awards

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§  Creativity & Design

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§  PDF & E-signatures

§  Community

§  Help & Support

Use Case




 solutions for a variety of industries

Find out how solutions such as retail and finance can help your industry.

Finance ›

Media & Entertainment ›

Retail industry

Retail ›

Travel & Tourism Industry

Travel & Tourism ›

Medical ›


high tech >

Communication ›

Manufacturing ›


"Managing content at least three times faster, both internally and externally, has saved us a great deal of time and money. We work to build a bigger picture of ours and deliver the right, consistent offers. "

Manuel Niess, Group Channel Marketing and Communication Services Leader, UBS

With more than 200 million page views a year on the website, UBS has decided to target the content of online experiences to provide an experience that is appropriate for both external and internal users. now offers the flexibility to dynamically display ten different interfaces on any device, tailored to the location and needs of visitors.

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