Adobe Research » Publications

Publication date: January 5, 2020

Predicting Outcomes in Limited-Overs Cricket Matches

COMAD/CODS

Natwar Modani, Manoj Kilaru, Anjan Kaur, Ritwik Sinha, Harsh Khetan

AI & Machine Learning

Publication date: 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

Publication date: January 1, 2020

Optimal Bidding Strategy without Exploration in Real-time Bidding

SIAM International Conference on Data Mining

Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Vishy Swaminathan

AI & Machine Learning

Publication date: December 13, 2019

How Many Glances? Modeling Multi-duration Saliency

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

Camilo Fosco, Anelise Newman, Patr Sukhum, Yun Bin Zhang, Aude Oliva, Zoya Bylinskii

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: 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

Publication date: December 11, 2019

Learning an Intrinsic Garment Space for Interactive Authoring of Garment Animation

ACM Transaction on Graphics (Proc. SIGGRAPH)

Tuanfeng Y. Wang, Tianjia Shao, Kai Fu, Niloy J. Mitra

AI & Machine Learning
Computer Vision, Imaging & Video
Graphics (2D & 3D)

Publication date: 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)

Publication date: 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

Publication date: 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

Publication date: 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)

Publication date: November 11, 2019

Generating Realistic Binarization Data with Generative Adversarial Networks

International Conference on Document Analysis and Recognition (ICDAR)

Chris Tensmeyer, Mike Brodie, Daniel Saunders, Tony Martinez

AI & Machine Learning
Computer Vision, Imaging & Video
Document Intelligence

Publication date: November 11, 2019

Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks

International Conference on Document Analysis and Recognition (ICDAR)

Chris Tensmeyer, Curtis Wigington

Oral

AI & Machine Learning
Computer Vision, Imaging & Video
Document Intelligence
Natural Language Processing

Publication date: November 9, 2019

Robust Keypoint Regression

Workshop on Machine Learning (WML) at International Conference on Document Analysis and Recognition (ICDAR)

Chris Tensmeyer, Tony Martinez

Long Oral

AI & Machine Learning
Computer Vision, Imaging & Video
Document Intelligence

Publication date: November 8, 2019

A Markov Network Model for Natural Language Semantic Matching

ICDM 2019 Autonomous Machine Learning Workshop

Lidan Wang, Trung Bui, Franck Dernoncourt, Natwar Modani

AI & Machine Learning
Natural Language Processing

Publication date: November 7, 2019

A Compare-Aggregate Model with Latent Clustering for Answer Selection

CIKM 2019

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

AI & Machine Learning
Natural Language Processing

Publication date: November 7, 2019

Let’s Ask Again: Refine Network for Automatic Question Generation

Conference on Empirical Methods in Natural Language Processing (EMNLP)

Preksha Nema, Akash M Kumar, Mitesh Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran

AI & Machine Learning
Content Intelligence
Natural Language Processing

Publication date: November 7, 2019

Bayesian Optimization for Selecting Efficient Machine Learning Models

CIKM 2019 MoST-Rec Workshop

Lidan Wang, Franck Dernoncourt, Trung Bui

AI & Machine Learning
Natural Language Processing

Publication date: November 7, 2019

Multi-label Categorization of Accounts of Sexism using a Neural Framework

Conference on Empirical Methods in Natural Language Processing (EMNLP)

Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma

AI & Machine Learning
Natural Language Processing

Publication date: November 7, 2019

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

Conference on Empirical Methods in Natural Language Processing (EMNLP)

Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh

AI & Machine Learning
Content Intelligence
Natural Language Processing

Publication date: November 5, 2019

A Gated Self-attention Memory Network for Answer Selection

EMNLP 2019

Tuan Lai, Quan Tran, Trung Bui, Daisuke Kihara

AI & Machine Learning
Natural Language Processing

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