Adobe Research » Publications

Publication date: June 23, 2021

Few-shot Image Generation via Cross-domain Correspondence

Computer Vision and Pattern Recognition (CVPR'21)

Utkarsh Ojha, Yijun Li, Jingwan (Cynthia) Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: June 23, 2021

Spatially-Adaptive Pixelwise Networks for Fast Image Translation

Computer Vision and Pattern Recognition (CVPR'21)

Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: June 22, 2021

Ensembling with Deep Generative Views

Computer Vision and Pattern Recognition (CVPR'21)

Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang

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

Publication date: June 21, 2021

TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations

Computer Vision and Pattern Recognition (CVPR'21)

Yuqian Zhou, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: June 21, 2021

Multi-Scale Aligned Distillation for Low-Resolution Detection

Conference on Computer Vision and Pattern Recognition (CVPR'21)

Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: June 21, 2021

Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach

CVPR 2021

Xingqian Xu, Zhifei Zhang, Zhaowen Wang, Brian Price, Zhonghao Want, Humphrey Shi

Computer Vision, Imaging & Video
Document Intelligence

Publication date: June 20, 2021

Deep Image Comparator: Learning to Visualize Editorial Change

CVPR Workshop on Media Forensics (CVPRW)

Alexander Black, Tu Bui, Hailin Jin, Vishy Swaminathan, John Collomosse

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

Publication date: June 19, 2021

IMAGINE: Image Synthesis by Image-Guided Model Inversion

CVPR2021

Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan (Cynthia) Lu, Nuno Vasconcelos

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: June 19, 2021

Content-Aware GAN Compression

Conference on Computer Vision and Pattern Recognition (CVPR)

Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: June 19, 2021

Joint Learning of 3D Shape Retrieval and Deformation

CVPR

Mikaela Angelina Uy, Vladimir (Vova) Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas Guibas

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

Publication date: June 19, 2021

DECOR-GAN: 3D Shape Detailization by Conditional Refinement

CVPR (oral)

Zhiqin Chen, Vladimir (Vova) Kim, Matt Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri

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

Publication date: June 16, 2021

Toward Automatic Audio Description Generation for Accessible Videos

CHI 2021

Yujia Wang, Wei Liang, Haikun Huang, Yongqi Zhang, Dingzeyu Li, Lap-Fai Yu

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

Publication date: June 11, 2021

X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering

NAACL 2021

Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May

AI & Machine Learning
Intelligent Agents & Assistants
Natural Language Processing

Publication date: June 11, 2021

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights

NAACL 2021

Hwanhee Lee, David Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, Kyomin Jung

AI & Machine Learning
Intelligent Agents & Assistants
Natural Language Processing

Publication date: June 11, 2021

A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution

NAACL 2021

Tuan Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: June 11, 2021

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models

NAACL 2021

Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: June 11, 2021

Open-Domain Question Answering with Pre-Constructed Question Spaces

NAACL SRW 2021

Jinfeng Xiao, Lidan Wang, Franck Dernoncourt, Trung Bui, Tong Sun, Jiawei Han

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: June 11, 2021

UCSD-Adobe at MEDIQA 2021: Transfer Learning and Answer Sentence Selection for Medical Summarization

NAACL BioNLP 2021

Khalil Mrini, Franck Dernoncourt, David Seunghyun Yoon, Trung Bui, Walter Chang, Emilias Farcas, Ndapa Nakashole

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: June 11, 2021

Personalized HRTF Modeling Using DNN-augmented BEM

ICASSP

Mengfan Zhang, Jui-Hsien Wang, Doug L. James, Wang

AI & Machine Learning
Audio
Graphics (2D & 3D)

Publication date: June 9, 2021

CDPAM: Contrastive learning for perceptual audio similarity

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

Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein

AI & Machine Learning
Audio

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