Publications

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
  • AI & Machine Learning
  • Content Intelligence
  • Natural Language Processing

Published February 7, 2020

Lifelong Learning with a Changing Action Set

Thirty-fourth Conference on Artificial Intelligence (AAAI 2020)

Yash Chandak, Georgios Theocharous, Chris Nota, Philip S.Thomas
Outstanding Student Paper Honorable Mention
  • AI & Machine Learning

Published February 7, 2020

Reinforcement Learning When All Actions are Not Always Available

Thirty-fourth Conference on Artificial Intelligence (AAAI 2020)

Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas
  • AI & Machine Learning

Published February 7, 2020

Exploratory Navigation and Selective Reading

34th AAAI Conference on Artificial Intelligence

Natwar Modani, Paridhi Maheshwari, Harsh Deshpande, Saurab Sirpurkar, Diviya, Somak Aditya
  • AI & Machine Learning
  • Document Intelligence
  • Human Computer Interaction
  • Natural Language Processing

Published February 4, 2020

A Structural Graph Representation Learning Framework

Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM)

Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori
  • AI & Machine Learning

Published January 20, 2020

Real-Time Clustering for Large Sparse Online Visitor Data

Proceedings of The Web Conference (WWW)

Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup Rao, Eunyee Koh, Claudio T. Silva, Juliana Freire
  • AI & Machine Learning

Published January 1, 2020

Tamper-proofing Video with Hierarchical Attention Autoencoder Hashing on Blockchain

IEEE Transactions on Multimedia

Tu Bui, Daniel Cooper, John Collomosse, Mark Bell, Alex Green, John Sheridan, Jez Higgins, Arindra Das, Jared Keller, Olivier Thereaux
  • AI & Machine Learning
  • Computer Vision, Imaging & Video
  • Document Intelligence

Published January 1, 2020

Approximate Maximum Matching in Random Streams

Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)

Alireza Farhadi, MohammadTaghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi
  • AI & Machine Learning
  • Data Intelligence

Published December 13, 2019

How Many Glances? Modeling Multi-duration Saliency

Workshop on Shared Visual Representations in Human and Machine Intelligence at NeurIPS

Camilo Fosco, Anelise Newman, Patr Sukhum, Yun Bin Zhang, Aude Oliva, Zoya Bylinskii
  • AI & Machine Learning
  • Computer Vision, Imaging & Video

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 December 9, 2019

Dynamic Adaptive Streaming for Augmented Reality Applications

Proceedings of IEEE International Symposium on Multimedia (IEEE ISM)

Stefano Petrangeli, Gwendal Simon, Haoliang Wang, Vishy Swaminathan
  • Computer Vision, Imaging & Video
  • Graphics (2D & 3D)

Published December 1, 2019

Learning Elementary Structures for 3D Shape Generation and Matching

Conference on Neural Information Processing Systems Description

Theo Deprelle, Thibault Groueix, Matt Fisher, Vladimir (Vova) Kim, Bryan Russell, Mathieu Aubry
  • AI & Machine Learning
  • Graphics (2D & 3D)

Published November 30, 2019

Dissecting the Performance of VR Video Streaming Through the VR-EXP Experimentation Platform

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)

Roberto Iraja Tavares Da Costa Filho, Marcelo Caggiani Luizelli, Stefano Petrangeli, Maria Torres Vega, Jeroen van der Hooft, Tim Wauters, Filip De Turck, Luciano Paschoal Gaspary
  • Computer Vision, Imaging & Video

Published November 30, 2019

Tile-Based Adaptive Streaming for Virtual Reality Video

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)

Jeroen van der Hooft, Maria Torres Vega, Stefano Petrangeli, Tim Wauters, Filip De Turck
  • Computer Vision, Imaging & Video

Published November 21, 2019

Linear Quadratic Regulator for Resource-Efficient Cloud Services

ACM Symposium on Cloud Computing

Youngsuk Park, Kanak Mahadik, Ryan Rossi, Gang Wu, Handong Zhao
  • AI & Machine Learning
  • Systems & Languages

Published November 18, 2019

Do Events Change Opinions on Social Media? Studying the 2016 US Presidential Debates

International Conference on Social Informatics (SocInfo)

Sopan Khosla, Niyati Chhaya, Shivam Jindal, Oindrilla Saha, Milind Shrivastava
  • AI & Machine Learning
  • Content Intelligence
  • Natural Language Processing

Published November 17, 2019

3D Ken Burns Effect from a Single Image

ACM Transactions on Graphics

Simon Niklaus, Long Mai, Jimei Yang, Feng Liu
  • AI & Machine Learning
  • Computer Vision, Imaging & Video
  • Graphics (2D & 3D)

Published November 16, 2019

Reducing Simulator Sickness with Perceptual Camera Control

SIGGRAPH Asia 2019

Ping Hu, Qi Sun, Piotr Didyk, Li-Yi Wei, Arie Kaufman
  • Graphics (2D & 3D)
  • Human Computer Interaction

Published November 12, 2019

Smart3DGuides: Making Unconstrained Immersive 3D Drawing More Accurate

VRST 2019: 25th ACM Symposium on Virtual Reality Software and Technology

Mayra D. Barrera Machuca, Wolfgang Stuerzlinger, Paul Asente
  • AR, VR & 360 Photography
  • Graphics (2D & 3D)
  • Human Computer Interaction

Published November 11, 2019

Challenges and Design Considerations for Multimodal Asynchronous Collaboration in VR

ACM Conference on Computer Supported Cooperative Work (CSCW)

Kevin Chow, Caitlin Coyiuto, Cuong Nguyen, Dongwook Yoon
  • AR, VR & 360 Photography
  • Human Computer Interaction
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