Adobe Research » Publications

Publication date: September 23, 2019

A Facial Affect Analysis System for Autism Spectrum Disorder

IEEE International Conference on Image Processing (ICIP)

Beibin Li, Sachin Mehta, Deepali Aneja, Claire Foster, Pamela Ventola, Frederick Shic, Linda Shapiro

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: September 20, 2019

Multi-label Connectionist Temporal Classification

International Conference on Document Analysis and Recognition (ICDAR)

Curtis Wigington, Brian Price, Scott Cohen

Document Intelligence

Publication date: September 20, 2019

Deep Visual Template-Free Form Parsing

International Conference on Document Analysis and Recognition (ICDAR)

Brian Davis, Bryan Morse, Scott Cohen, Brian Price, Chris Tensmeyer

Oral

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

Publication date: September 20, 2019

ICDAR 2019 Competition on Harvesting Raw Tables from Infographics (CHART-Infographics)

2019 International Conference on Document Analysis and Recognition

Kenny Davila, Bhargava Urala Kota, Srirangraj Setlur, Venu Govindraju, Chris Tensmeyer, Sumit Shekhar, Ritwick Chaudhry

Computer Vision, Imaging & Video

Publication date: September 20, 2019

Exploiting semi-supervised training through a dropout regularization in end-to-end speech recognition

Interspeech 2019

Subhadeep Dey, Petr Motlicek, Trung Bui, Franck Dernoncourt

AI & Machine Learning
Audio
Natural Language Processing

Publication date: 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

Publication date: September 16, 2019

Node2BITS: Compact Time- and Attribute-aware Node Representations for User Stitching

ECML/PKDD

Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra

AI & Machine Learning

Publication date: September 13, 2019

Mapping distributional to model-theoretic semantic spaces: a baseline

PACLIC 2019

Franck Dernoncourt

Natural Language Processing

Publication date: September 13, 2019

Highlights of Attention Mechanisms for Model Interpretability

SoCal NLP Symposium 2019

Khalil Mrini, Franck Dernoncourt, Trung Bui, Walter Chang, Ndapa Nakashole

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: September 11, 2019

Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior

British Machine Vision Conference (BMVC) 2019

Tommy Gittings, Steve Schneider, John Collomosse

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: September 3, 2019

Pre-trained Affective Word Representations

8th International Conference on Affective Computing and Intelligent Interaction (ACII)

Kushal Chawla, Sopan Khosla, Niyati Chhaya, Kokil Jaidka

AI & Machine Learning
Content Intelligence
Natural Language Processing

Publication date: August 19, 2019

DeepPlace: Learning to Place Applications in Multi-Tenant Clusters

Proceedings of ACM/SIGOPS Asia-Pacific Workshop on Systems (APSys)

Subrata Mitra, Shanka Subhra Mondal, Nikhil Sheoran, Neeraj Dhake, Ravinder Nehra, Ramanuja Simha

AI & Machine Learning
Systems & Languages

Publication date: August 10, 2019

Integrating Knowledge and Reasoning in Image Understanding

IJCAI 2019

Somak Aditya, Yezhou Yang, Chitta Baral

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: August 5, 2019

Heterogeneous Network Motifs

MLG KDD

Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh

AI & Machine Learning

Publication date: August 4, 2019

Latent Network Summarization: Bridging Network Embedding and Summarization

KDD '19 Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Di Jin, Ryan A. Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao

AI & Machine Learning

Publication date: August 4, 2019

Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?

KDD

Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar

AI & Machine Learning
Data Intelligence
Natural Language Processing

Publication date: August 4, 2019

Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Units

KDD - ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING

Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu

AI & Machine Learning
Content Intelligence
Data Intelligence

Publication date: August 4, 2019

role2vec: Role-based Network Embeddings

Deep Learning on Graphs (DLG KDD)

Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry

AI & Machine Learning

Publication date: August 2, 2019

Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions

ACL 2019

Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria, Thamar Solorio

AI & Machine Learning
Natural Language Processing

Publication date: August 2, 2019

Scoring Sentence Singletons and Pairs for Abstractive Summarization

ACL 2019

Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu

AI & Machine Learning
Natural Language Processing

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