Adobe Research » Publications

Publication date: May 31, 2020

TAPESTRY: A De-centralized Service for Trusted Interaction Online

IEEE Transactions on Services Computing (TSC)

Yifan Yang, Daniel Cooper, John Collomosse, Constantin Dragan, Mark Manulis, Jamie Steane, Arthi Manohar, Jo Briggs, Wendy Moncur, Helen Jones

AI & Machine Learning
Human Computer Interaction

Publication date: May 14, 2020

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

PAKDD 2020

Viet Lai, Franck Dernoncourt, Thien Nguyen

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: 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

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: 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

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: 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

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

Publication date: May 12, 2020

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

LREC 2020

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

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: May 7, 2020

SPADE: Streaming PARAFAC2 Decomposition for Large Datasets

SIAM International Conference on Data Mining, (SDM 2020)

Ekta Gurjal, Georgios Theocharous, Evangelos E. Papalexakis

AI & Machine Learning

Publication date: May 4, 2020

Impulse Response Data Augmentation and Deep Neural Networks For Blind Room Acoustic Parameter Estimation

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Nicholas J. Bryan

AI & Machine Learning
Audio

Publication date: May 4, 2020

Few-Shot Sound Event Detection

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Yu Wang, Justin Salamon, Nicholas J. Bryan, Juan Pablo Bello

AI & Machine Learning
Audio

Publication date: May 4, 2020

Disentangled Multidimensional Metric Learning For Music Similarity

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam

AI & Machine Learning
Audio

Publication date: May 4, 2020

One-Shot Parametric Audio Production Style Transfer With Application to Frequency Equalization

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Stylianos I. Mimilakis, Nicholas J. Bryan, Paris Smaragdis

AI & Machine Learning
Audio

Publication date: May 4, 2020

Sound Event Detection in Synthetic Domestic Environments

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Romain Serizel, Nicolas Turpault, Ankit Shah, Justin Salamon

AI & Machine Learning
Audio

Publication date: May 4, 2020

Chirping up the Right Tree: Incorporating Biological Taxonomies into Deep Bioacoustic Classifiers

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Jason Cramer, Vincent Lostanlen, Andrew Farnsworth, Justin Salamon, Juan Pablo Bello

AI & Machine Learning
Audio

Publication date: May 4, 2020

Attentive Modality Hopping Mechanism for Speech Emotion Recognition

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

David Seunghyun Yoon, Subhadeep Dey, Hwanhee Lee, Kyomin Jung

AI & Machine Learning
Audio
Natural Language Processing

Publication date: May 1, 2020

Image Morphing with Perceptual Constraints and STN Alignment

Computer Graphics Forum (CGF)

Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes

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

Publication date: April 20, 2020

Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks

The Web Conference (WebConf) - Poster

Ayush Chauhan, Archiki Prasad, Parth Gupta, Amireddy Prashanth Reddy*, Shiv Saini

AI & Machine Learning
Data Intelligence

Publication date: 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

AI & Machine Learning
Natural Language Processing

Publication date: 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

AI & Machine Learning
Content Intelligence
Natural Language Processing

Publication date: April 14, 2020

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

European Conference on Information Retrieval (ECIR)

Kushal Chawla, Niyati Chhaya

AI & Machine Learning
Content Intelligence

Publication date: March 30, 2020

How much time do you have? Modeling multi-duration saliency

Computer Vision and Pattern Recognition (CVPR)

Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii

AI & Machine Learning
Computer Vision, Imaging & Video

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