Adobe Research » Publications

Publication date: November 2, 2020

Improving Sound Event Detection in Domestic Environments using Sound Separation

Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE)

Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon

AI & Machine Learning
Audio

Publication date: October 26, 2020

A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences

Interspeech 2020

Pranay Manocha, Adam Finkelstein, Richard Zhang, Nicholas J. Bryan, Gautham Mysore, Zeyu Jin

AI & Machine Learning
Audio

Publication date: October 26, 2020

HiFi-GAN: High-fidelity denoising and dereverberation based on speech deep features in adversarial networks

Interspeech 2020

Jiaqi Su, Zeyu Jin, Adam Finkelstein

AI & Machine Learning
Audio

Publication date: October 20, 2020

Conversational Error Analysis in Human-Agent Interaction

ACM International Conference on Intelligent Virtual Agents (IVA)

Deepali Aneja, Daniel McDuff, Mary Czerwinski

AI & Machine Learning
Content Intelligence
Human Computer Interaction
Intelligent Agents & Assistants

Publication date: October 20, 2020

Predicting Visual Importance Across Graphic Design Types

ACM Symposium on User Interface Software and Technology (UIST)

Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii

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

Publication date: October 11, 2020

Few-Shot Drum Transcription in Polyphonic Music

International Society for Music Information Retrieval Conference (ISMIR)

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

AI & Machine Learning
Audio

Publication date: October 11, 2020

Metric Learning vs Classification for Disentangled Music Representation Learning

International Society for Music Information Retrieval Conference (ISMIR)

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

AI & Machine Learning
Audio

Publication date: October 11, 2020

Attribution IQ: Scalable Game Theoretic Attribution in Web Analytics

Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Ritwik Sinha, Ivan Andrus, Trevor Paulsen

AI & Machine Learning
Data Intelligence

Publication date: September 25, 2020

Botcha: Detecting Malicious Non-Human Traffic in the Wild

Workshop on Online Misinformation and Harm-Aware Recommender Systems

Sunny Dhamnani, Ritwik Sinha, Vishwa Vinay, Lilly Kumari, Margarita Savova

AI & Machine Learning
Data Intelligence
Systems & Languages

Publication date: September 22, 2020

Goal-driven Command Recommendations for Analysts

ACM Conference on Recommender Systems (RecSys '20)

Samarth Aggarwal, Rohin Garg, Abhilasha Sancheti, Bhanu Prakash Reddy Guda, Iftikhar Ahamath Burhanuddin

AI & Machine Learning
Data Intelligence
Human Computer Interaction
Intelligent Agents & Assistants

Publication date: September 15, 2020

Reinforcement Learning for Strategic Recommendations

Arxiv 2020

Georgios Theocharous, Yash Chandak, Philip S. Thomas, Frits de Nijs

AI & Machine Learning

Publication date: September 9, 2020

Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras

British Machine Vision Conference (BMVC)

Andrew Gilbert, Matthew Trumble, Adrian Hilton, John Collomosse

AI & Machine Learning
AR, VR & 360 Photography
Computer Vision, Imaging & Video

Publication date: September 7, 2020

Text and Style Conditioned GAN for Generation of Offline Handwriting Lines

British Machine Vision Conference (BMVC)

Brian Davis, Chris Tensmeyer, Brian Price, Curtis Wigington, Bryan Morse, Rajiv Jain

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: August 24, 2020

Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing

ECCV 2020

Dingzeyu Li, Yapeng Tian, Chenliang Xu

AI & Machine Learning
Audio
Computer Vision, Imaging & Video

Publication date: August 24, 2020

Learning 3D Part Assembly from a Single Image

European Conference on Computer Vision (ECCV)

Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: August 24, 2020

Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images

European Conference on Computer Vision (ECCV)

Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy J. Mitra, Leonidas Guibas

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: August 24, 2020

Neural Geometric Parser for Single Image Camera Calibration

European Conference on Computer Vision (ECCV)

Jinwoo Lee, Minhyuk Sung, Hyunjoon Lee, Junho Kim

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: August 24, 2020

Deformation-Aware 3D Shape Embedding and Retrieval

European Conference on Computer Vision (ECCV)

Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: August 24, 2020

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds

ECCV

Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Měch

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

Publication date: August 23, 2020

Look here! A parametric learning based approach to redirect visual attention

European Conference on Computer Vision (ECCV)

Youssef Alami Mejjati, Celso Gomes, Kwang In Kim, Eli Shechtman, Zoya Bylinskii

AI & Machine Learning
Computer Vision, Imaging & Video

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