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ORCIDEirikur Agustsson
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Books and Theses
- 2020
[b1]Eirikur Agustsson:
Image compression via super-resolution and generative models. ETH Zurich, Zürich, Switzerland, 2020
Journal Articles
- 2021
- [j2]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): 339-353 (2021) - 2017
- [j1]David Stotz, Erwin Riegler, Eirikur Agustsson, Helmut Bölcskei:
Almost Lossless Analog Signal Separation and Probabilistic Uncertainty Relations. IEEE Trans. Inf. Theory 63(9): 5445-5460 (2017)
Conference and Workshop Papers
- 2024
- [c32]Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen:
Finite Scalar Quantization: VQ-VAE Made Simple. ICLR 2024 - 2023
- [c31]Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer:
Multi-Realism Image Compression with a Conditional Generator. CVPR 2023: 22324-22333 - [c30]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen:
M2T: Masking Transformers Twice for Faster Decoding. ICCV 2023: 5317-5326 - 2022
- [c29]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: 562-578 - [c28]Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson:
VCT: A Video Compression Transformer. NeurIPS 2022 - 2020
- [c27]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: 8500-8509 - [c26]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: 252-266 - [c25]Eirikur Agustsson, Lucas Theis:
Universally Quantized Neural Compression. NeurIPS 2020 - [c24]Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson:
High-Fidelity Generative Image Compression. NeurIPS 2020 - 2019
- [c23]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Practical Full Resolution Learned Lossless Image Compression. CVPR 2019: 10629-10638 - [c22]Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari:
Interactive Full Image Segmentation by Considering All Regions Jointly. CVPR 2019: 11622-11631 - [c21]Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Generative Adversarial Networks for Extreme Learned Image Compression. ICCV 2019: 221-231 - [c20]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 - 2018
- [c19]Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
ComboGAN: Unrestrained Scalability for Image Domain Translation. CVPR Workshops 2018: 783-790 - [c18]Sveinn Palsson, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Generative Adversarial Style Transfer Networks for Face Aging. CVPR Workshops 2018: 2084-2092 - [c17]Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Extreme Learned Image Compression with GANs. CVPR Workshops 2018: 2587-2590 - [c16]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. CVPR 2018: 4394-4402 - [c15]Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks. CVPR 2018: 5879-5888 - [c14]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: 166-181 - [c13]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: 315-333 - [c12]Asha Anoosheh, Eirikur Agustsson, Radu Timofte:
ComboGAN: Unrestricted Scalability for Image Domain Translation. ICLR (Workshop) 2018 - [c11]Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Towards Image Understanding from Deep Compression Without Decoding. ICLR (Poster) 2018 - [c10]Michael Tschannen, Eirikur Agustsson, Mario Lucic:
Deep Generative Models for Distribution-Preserving Lossy Compression. NeurIPS 2018: 5933-5944 - 2017
- [c9]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, Jaejun 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: 1110-1121 - [c8]Eirikur Agustsson, Radu Timofte:
NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study. CVPR Workshops 2017: 1122-1131 - [c7]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: 87-94 - [c6]Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Anchored Regression Networks Applied to Age Estimation and Super Resolution. ICCV 2017: 1652-1661 - [c5]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: 1141-1151 - [c4]Eirikur Agustsson, Radu Timofte, Luc Van Gool:
k^2 k 2 -means for Fast and Accurate Large Scale Clustering. ECML/PKDD (2) 2017: 775-791 - 2016
- [c3]Robert Torfason, Eirikur Agustsson, Rasmus Rothe, Radu Timofte:
From Face Images and Attributes to Attributes. ACCV (3) 2016: 313-329 - [c2]Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Regressor Basis Learning for anchored super-resolution. ICPR 2016: 3850-3855 - 2014
- [c1]Reinhard Heckel, Eirikur Agustsson, Helmut Bölcskei:
Neighborhood selection for thresholding-based subspace clustering. ICASSP 2014: 6761-6765
Informal and Other Publications
- 2023
- [i26]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen:
M2T: Masking Transformers Twice for Faster Decoding. CoRR abs/2304.07313 (2023) - [i25]Emiel Hoogeboom, Eirikur Agustsson, Fabian Mentzer, Luca Versari, George Toderici, Lucas Theis:
High-Fidelity Image Compression with Score-based Generative Models. CoRR abs/2305.18231 (2023) - [i24]Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen:
Finite Scalar Quantization: VQ-VAE Made Simple. CoRR abs/2309.15505 (2023) - 2022
- [i23]Fabian Mentzer, George Toderici, David Minnen, Sung Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson:
VCT: A Video Compression Transformer. CoRR abs/2206.07307 (2022) - [i22]Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer:
Multi-Realism Image Compression with a Conditional Generator. CoRR abs/2212.13824 (2022) - 2021
- [i21]Lucas Theis, Eirikur Agustsson:
On the advantages of stochastic encoders. CoRR abs/2102.09270 (2021) - [i20]Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici:
Towards Generative Video Compression. CoRR abs/2107.12038 (2021) - 2020
- [i19]Eirikur Agustsson, Lucas Theis:
Universally Quantized Neural Compression. CoRR abs/2006.09952 (2020) - [i18]Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson:
High-Fidelity Generative Image Compression. CoRR abs/2006.09965 (2020) - [i17]Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici:
Nonlinear Transform Coding. CoRR abs/2007.03034 (2020) - 2018
- [i16]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. CoRR abs/1801.04260 (2018) - [i15]Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Towards Image Understanding from Deep Compression without Decoding. CoRR abs/1803.06131 (2018) - [i14]Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Generative Adversarial Networks for Extreme Learned Image Compression. CoRR abs/1804.02958 (2018) - [i13]Michael Tschannen, Eirikur Agustsson, Mario Lucic:
Deep Generative Models for Distribution-Preserving Lossy Compression. CoRR abs/1805.11057 (2018) - [i12]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 abs/1810.01641 (2018) - [i11]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Practical Full Resolution Learned Lossless Image Compression. CoRR abs/1811.12817 (2018) - [i10]Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari:
Interactive Full Image Segmentation. CoRR abs/1812.01888 (2018) - 2017
- [i9]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 abs/1704.00648 (2017) - [i8]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 abs/1705.05640 (2017) - [i7]Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Luc Van Gool:
WebVision Database: Visual Learning and Understanding from Web Data. CoRR abs/1708.02862 (2017) - [i6]Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool:
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models. CoRR abs/1711.01970 (2017) - [i5]Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks. CoRR abs/1712.04407 (2017) - [i4]Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
ComboGAN: Unrestrained Scalability for Image Domain Translation. CoRR abs/1712.06909 (2017) - 2016
- [i3]Eirikur Agustsson, Radu Timofte, Luc Van Gool:
k2-means for fast and accurate large scale clustering. CoRR abs/1605.09299 (2016) - 2015
- [i2]David Stotz, Erwin Riegler, Eirikur Agustsson, Helmut Bölcskei:
Almost lossless analog signal separation and probabilistic uncertainty relations. CoRR abs/1512.01017 (2015) - 2014
- [i1]Reinhard Heckel, Eirikur Agustsson, Helmut Bölcskei:
Neighborhood Selection for Thresholding-based Subspace Clustering. CoRR abs/1403.3438 (2014)
Coauthor Index
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