Saayan Mitra

Sr. Research Scientist

San Jose

Saayan is a researcher in BigData Experience Lab in Adobe Research. His current research work focuses on how contextual data can be used effectively for recommendations and advertising. He is also involved in a number of projects where AI is used to extract meaningful information from Videos. In the past, he has worked on multiple projects involving media formats, streaming and content protection. He received his PhD from Iowa State University in 2009, and has been a member of Adobe Research since then.

My Publications

Published December 11, 2019

A Scalable Data Augmentation and Training Pipeline for Logo Detection

IEEE ISM 2019

Han Guo, Vishy Swaminathan, Saayan Mitra
Best Paper Award
  • AI & Machine Learning

Published September 16, 2019

Scalable Bid Landscape Forecasting in Real-time Bidding

ECML-PKDD 2019

Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Vishy Swaminathan
  • AI & Machine Learning
  • Data Intelligence

Published July 29, 2019

Training Streaming Factorization Machines with Alternating Least Squares

ACM SIGIR 2019

Xueyu Mao, Saayan Mitra, Sheng Li
  • AI & Machine Learning

Published December 10, 2018

Content-Based Effectiveness Prediction of Video Advertisements

IEEE ISM 2018

Qi Lou, Somdeb Sarkhel, Saayan Mitra, Vishy Swaminathan
  • AI & Machine Learning
  • Computer Vision, Imaging & Video
  • Data Intelligence

Published December 11, 2017

Personalized Video Recommendations for Shared Accounts

IEEE ISM 2017

Shuo Yang, Somdeb Sarkhel, Saayan Mitra, Vishy Swaminathan
  • AI & Machine Learning
  • Computer Vision, Imaging & Video
  • Data Intelligence

Published December 11, 2017

Feature Selection for FM-Based Context-Aware Recommendation Systems

IEEE ISM 2017

Xueyu Mao, Saayan Mitra, Vishy Swaminathan
  • AI & Machine Learning

Published December 11, 2017

Digital content recommendation system using implicit feedback data

IEEE BigData 2017

Gang Wu, Vishy Swaminathan, Saayan Mitra, Ratnesh Kumar
  • AI & Machine Learning

Published October 7, 2017

Context-aware video recommendation based on session progress prediction

IEEE ICME 2017

Gang Wu, Vishy Swaminathan, Saayan Mitra, Ratnesh Kumar
  • AI & Machine Learning
  • Computer Vision, Imaging & Video
  • Data Intelligence

Published September 30, 2013

Designing a Universal Format for Encrypted Media

in Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP), Sep 2013, Sardinia, Italy

Vishy Swaminathan, Saayan Mitra, Sheng Wei

Published September 19, 2012

An Optimal Client Bu ffer Model for Multiplexing HTTP Streams

In Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP), Sep 2012, Banff, Canada

Saayan Mitra, Vishy Swaminathan

Published January 14, 2012

A Partial Encryption Scheme for AVC Video

In Proceedings of IEEE International Conference on Emerging Signal Processing Applications (ESPA), Jan 2012, Las Vegas, NV

Vishy Swaminathan, Saayan Mitra

Published July 10, 2009

A Framework for Optimal Decentralized Service-Choreography

In Proceedings of IEEE International Conference on Web Services (ICWS), July 2009, Los Angeles, CA

Saayan Mitra, R. Kumar, S. Basu

Published July 11, 2008

Optimum Decentralized Choreography for Web Services Composition

In Proceedings of IEEE International Conference on Services Computing (SCC), July 2008, Honolulu, HI

Saayan Mitra, R. Kumar, S. Basu

Published November 5, 2007

Local and On-the-fly Choreography-based Web Service Composition

In Proceedings of ACM/IEEE Web Intelligence, Nov 2007, Femont, CA

Saayan Mitra, S. Basu, R. Kumar

Published July 9, 2007

Automated Choreographer Synthesis for Web Services Composition Using I/O Automata

In ICWS '07: Proceedings of IEEE International Conference on Web Services, July 2007, Salt Lake City, UT

Saayan Mitra, R. Kumar, S. Basu