Adobe Research » Publications

Publication date: December 15, 2023

Hypergraph Neural Networks for Time-series Forecasting

IEEE International Conference on Big Data (BigData)

Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry

AI & Machine Learning

Publication date: December 12, 2023

Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models

SIGGRAPH Asia conference track

Arman Maesumi, Paul Guerrero, Vladimir (Vova) Kim, Matt Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie

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

Publication date: December 11, 2023

Content-aware Progressive Image Compression and Syncing

IEEE International Symposium on Multimedia (ISM)

Junda Wu, Haoliang Wang, Tong Yu, Handong Zhao, Gang Wu, Stefano Petrangeli, Sungchul Kim, Vishy Swaminathan

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: December 11, 2023

EHT-SR: An Entropy-Based Hybrid Approach for Faster Super-Resolution

IEEE International Symposium on Multimedia (ISM)

Stefano Petrangeli

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: December 11, 2023

Active Context Modeling for Efficient Image and Burst Compression

IEEE International Symposium on Multimedia (ISM)

Yang Li, Gang Wu, Stefano Petrangeli, Haoliang Wang, Ryan A. Rossi, Vishy Swaminathan

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: December 11, 2023

GPU-accelerated Lossless Image Compression with Massive Parallelization

ISM 2023

Yu Shen, Gang Wu, Vishy Swaminathan, Haoliang Wang, Stefano Petrangeli, Tong Yu

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: December 11, 2023

Active Context Modeling for Efficient Image and Burst Compression

ISM 2023

Yang Li, Gang Wu, Stefano Petrangeli, Haoliang Wang, Ryan A. Rossi, Vishy Swaminathan

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: December 10, 2023

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

NeurIPS

Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao

AI & Machine Learning
Intelligent Agents & Assistants
Natural Language Processing

Publication date: December 10, 2023

Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback

EMNLP 2023 Demonstrations

Viet Lai, Chien Nguyen, Nghia Ngo, Thuat Nguyen, Franck Dernoncourt, Ryan A. Rossi, Thien Nguyen

AI & Machine Learning
Natural Language Processing

Publication date: December 10, 2023

ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

Findings of EMNLP 2023

Viet Dac Lai, Nghia Trung Ngo, Amir Pouran Ben Veyseh, Hieu Man, Franck Dernoncourt, Trung Bui, Thien Huu Nguyen

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: December 10, 2023

Perturbation Robust Metric for Multi-Lingual Image Captioning

EMNLP 2023 Findings

Yongil Kim, Yerin Hwang, Hyeongu Yun, David Seunghyun Yoon, Trung Bui, Kyomin Jung

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

Publication date: December 10, 2023

Transitioning Representations between Languages for Cross-lingual Event Detection

EMNLP Findings 2023

Chien Nguyen, Huy Nguyen, Franck Dernoncourt, Thien Nguyen

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: December 6, 2023

Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer

Foundations of Software Engineering (ESEC/FSE)

Shubham Agarwal, Sarthak Chakraborty, Shaddy Garg, Sumit Bisht, Chahat Jain, Ashritha Gonuguntla, Shiv Saini

AI & Machine Learning
Data Intelligence
Systems & Languages

Publication date: December 6, 2023

Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering

Conference on Empirical Methods in Natural Language Processing (EMNLP)

Inderjeet Nair, , Shwetha Somasundaram, , Apoorv Saxena, Koustava Goswami

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: December 4, 2023

VaQuitA: Enhancing alignment in llm-assisted video understanding

arXiv

Yizhou Wang, Ruiyi Zhang, Haoliang Wang, Uttaran Bhattacharya, Yun Fu, Gang Wu

AI & Machine Learning
Computer Vision, Imaging & Video
Intelligent Agents & Assistants

Publication date: December 1, 2023

PSDR-Room: Single Photo to Scene using Differentiable Rendering

Siggraph Asia 2023

Kai Yan, Fujun Luan, Milos Hasan, Thibault Groueix, Valentin Deschaintre, Shuang Zhao

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

Publication date: November 8, 2023

Decentralized Personalized Online Federated Learning

IEEE Initernational Conference on Big Data

Renzhi Wu, Saayan Mitra, Xiang Chen, Anup Rao

AI & Machine Learning
Data Intelligence

Publication date: November 4, 2023

A Review of Datasets for Aspect-based Sentiment Analysis

IJCNLP-AACL 2023

Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: November 1, 2023

TaleStream: Supporting Story Ideation with Trope Knowledge

UIST 2023

Jean-Peïc Chou, Maneesh Agrawala, Alexa Siu, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt

AI & Machine Learning
Document Intelligence
Human Computer Interaction
Intelligent Agents & Assistants
Natural Language Processing

Publication date: October 22, 2023

Bridging High-Quality Audio and Video via Language for Sound Effects Retrieval from Visual Queries

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

Julia Wilkins, Justin Salamon, Magdalena Fuentes, Juan Pablo Bello, Oriol Nieto

AI & Machine Learning
Audio
Computer Vision, Imaging & Video

1 … 15 16 17 18 19 20 21 … 64