Eirikur Agustsson

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 57

Top Topics

Super Resolution

Vector Quantization

Generative Model

Top Venues

Publications

Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
Finite Scalar Quantization: VQ-VAE Made Simple. CoRR (2023)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen
M2T: Masking Transformers Twice for Faster Decoding. ICCV (2023)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen
M2T: Masking Transformers Twice for Faster Decoding. CoRR (2023)
Emiel Hoogeboom, Eirikur Agustsson, Fabian Mentzer, Luca Versari, George Toderici, Lucas Theis
High-Fidelity Image Compression with Score-based Generative Models. CoRR (2023)
Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
Multi-Realism Image Compression with a Conditional Generator. CVPR (2023)
Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson
VCT: A Video Compression Transformer. NeurIPS (2022)
Fabian Mentzer, George Toderici, David Minnen, Sung Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson
VCT: A Video Compression Transformer. CoRR (2022)
Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
Multi-Realism Image Compression with a Conditional Generator. CoRR (2022)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
Neural Video Compression Using GANs for Detail Synthesis and Propagation. ECCV (26) (2022)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
Towards Generative Video Compression. CoRR (2021)
Lucas Theis, Eirikur Agustsson
On the advantages of stochastic encoders. CoRR (2021)
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
Nonlinear Transform Coding. IEEE J. Sel. Top. Signal Process. 15 (2) (2021)
Anna Volokitin, Igor Susmelj, Eirikur Agustsson, Luc Van Gool, Radu Timofte
Efficiently Detecting Plausible Locations for Object Placement Using Masked Convolutions. ECCV Workshops (4) (2020)
Eirikur Agustsson, Lucas Theis
Universally Quantized Neural Compression. NeurIPS (2020)
Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson
High-Fidelity Generative Image Compression. CoRR (2020)
Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ballé, Sung Jin Hwang, George Toderici
Scale-Space Flow for End-to-End Optimized Video Compression. CVPR (2020)
Eirikur Agustsson, Lucas Theis
Universally Quantized Neural Compression. CoRR (2020)
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
Nonlinear Transform Coding. CoRR (2020)
Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson
High-Fidelity Generative Image Compression. NeurIPS (2020)
Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari
Interactive Full Image Segmentation by Considering All Regions Jointly. CVPR (2019)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Practical Full Resolution Learned Lossless Image Compression. CVPR (2019)
Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool
Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models. ICLR (Poster) (2019)
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
Generative Adversarial Networks for Extreme Learned Image Compression. ICCV (2019)
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
Generative Adversarial Networks for Extreme Learned Image Compression. CoRR (2018)
Michael Tschannen, Eirikur Agustsson, Mario Lucic
Deep Generative Models for Distribution-Preserving Lossy Compression. CoRR (2018)
Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool
ComboGAN: Unrestrained Scalability for Image Domain Translation. CVPR Workshops (2018)
Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR (2018)
Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool
Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks. CVPR (2018)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Conditional Probability Models for Deep Image Compression. CoRR (2018)
Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Towards Image Understanding from Deep Compression Without Decoding. ICLR (Poster) (2018)
Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari
Interactive Full Image Segmentation. CoRR (2018)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Practical Full Resolution Learned Lossless Image Compression. CoRR (2018)
Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) (2018)
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
Extreme Learned Image Compression with GANs. CVPR Workshops (2018)
Michael Tschannen, Eirikur Agustsson, Mario Lucic
Deep Generative Models for Distribution-Preserving Lossy Compression. NeurIPS (2018)
Yawei Li, Eirikur Agustsson, Shuhang Gu, Radu Timofte, Luc Van Gool
CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution. ECCV Workshops (5) (2018)
Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Towards Image Understanding from Deep Compression without Decoding. CoRR (2018)
Sveinn Palsson, Eirikur Agustsson, Radu Timofte, Luc Van Gool
Generative Adversarial Style Transfer Networks for Face Aging. CVPR Workshops (2018)
Asha Anoosheh, Eirikur Agustsson, Radu Timofte
ComboGAN: Unrestricted Scalability for Image Domain Translation. ICLR (Workshop) (2018)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Conditional Probability Models for Deep Image Compression. CVPR (2018)
Eirikur Agustsson, Radu Timofte, Sergio Escalera, Xavier Baró, Isabelle Guyon, Rasmus Rothe
Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database. FG (2017)
Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar, Luc Van Gool
WebVision Challenge: Visual Learning and Understanding With Web Data. CoRR (2017)
Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks. CoRR (2017)
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations. NIPS (2017)
David Stotz, Erwin Riegler, Eirikur Agustsson, Helmut Bölcskei
Almost Lossless Analog Signal Separation and Probabilistic Uncertainty Relations. IEEE Trans. Inf. Theory 63 (9) (2017)
Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models. CoRR (2017)
Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool
ComboGAN: Unrestrained Scalability for Image Domain Translation. CoRR (2017)
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. CoRR (2017)
Eirikur Agustsson, Radu Timofte, Luc Van Gool
Anchored Regression Networks Applied to Age Estimation and Super Resolution. ICCV (2017)
Eirikur Agustsson, Radu Timofte, Luc Van Gool
k^2 k 2 -means for Fast and Accurate Large Scale Clustering. ECML/PKDD (2) (2017)
Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Luc Van Gool
WebVision Database: Visual Learning and Understanding from Web Data. CoRR (2017)
Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops (2017)
Eirikur Agustsson, Radu Timofte
NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study. CVPR Workshops (2017)
Eirikur Agustsson, Radu Timofte, Luc Van Gool
k2-means for fast and accurate large scale clustering. CoRR (2016)
Robert Torfason, Eirikur Agustsson, Rasmus Rothe, Radu Timofte
From Face Images and Attributes to Attributes. ACCV (3) (2016)
Eirikur Agustsson, Radu Timofte, Luc Van Gool
Regressor Basis Learning for anchored super-resolution. ICPR (2016)
David Stotz, Erwin Riegler, Eirikur Agustsson, Helmut Bölcskei
Almost lossless analog signal separation and probabilistic uncertainty relations. CoRR (2015)
Reinhard Heckel, Eirikur Agustsson, Helmut Bölcskei
Neighborhood Selection for Thresholding-based Subspace Clustering. CoRR (2014)
Reinhard Heckel, Eirikur Agustsson, Helmut Bölcskei
Neighborhood selection for thresholding-based subspace clustering. ICASSP (2014)