Agustsson, Eirikur

22 publications

NeurIPS 2024 Extending Video Masked Autoencoders to 128 Frames Nitesh B. Gundavarapu, Luke Friedman, Raghav Goyal, Chaitra Hegde, Eirikur Agustsson, Sagar Waghmare, Mikhail Sirotenko, Ming-Hsuan Yang, Tobias Weyand, Boqing Gong, Leonid Sigal

ICLR 2024 Finite Scalar Quantization: VQ-VAE Made Simple Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen

CVPR 2023 Multi-Realism Image Compression with a Conditional Generator Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer

ECCV 2022 Neural Video Compression Using GANs for Detail Synthesis and Propagation Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici

NeurIPS 2022 VCT: A Video Compression Transformer Fabian Mentzer, George D Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson

ICLRW 2021 On the Advantages of Stochastic Encoders Lucas Theis, Eirikur Agustsson

ECCVW 2020 Efficiently Detecting Plausible Locations for Object Placement Using Masked Convolutions Anna Volokitin, Igor Susmelj, Eirikur Agustsson, Luc Van Gool, Radu Timofte

NeurIPS 2020 High-Fidelity Generative Image Compression Fabian Mentzer, George D Toderici, Michael Tschannen, Eirikur Agustsson

NeurIPS 2020 Universally Quantized Neural Compression Eirikur Agustsson, Lucas Theis

ICLR 2019 Optimal Transport Maps for Distribution Preserving Operations on Latent Spaces of Generative Models Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool

ECCVW 2018 CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution Yawei Li, Eirikur Agustsson, Shuhang Gu, Radu Timofte, Luc Van Gool

CVPRW 2018 ComboGAN: Unrestrained Scalability for Image Domain Translation Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool

NeurIPS 2018 Deep Generative Models for Distribution-Preserving Lossy Compression Michael Tschannen, Eirikur Agustsson, Mario Lucic

CVPRW 2018 Extreme Learned Image Compression with GANs Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool

CVPRW 2018 Generative Adversarial Style Transfer Networks for Face Aging Sveinn Palsson, Eirikur Agustsson, Radu Timofte, Luc Van Gool

ECCVW 2018 PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report 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

ICLR 2018 Towards Image Understanding from Deep Compression Without Decoding Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool

ICCV 2017 Anchored Regression Networks Applied to Age Estimation and Super Resolution Eirikur Agustsson, Radu Timofte, Luc Van Gool

ECML-PKDD 2017 K2 K 2 -means for Fast and Accurate Large Scale Clustering Eirikur Agustsson, Radu Timofte, Luc Van Gool

CVPRW 2017 NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study Eirikur Agustsson, Radu Timofte

CVPRW 2017 NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results 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

NeurIPS 2017 Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc V. Gool