Eirikur Agustsson

63 papers A* 15B 2Misc 1Journal 29Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Extending Video Masked Autoencoders to 128 frames. NeurIPS Nitesh Bharadwaj Gundavarapu, Luke Friedman, Raghav Goyal, Chaitra Hegde, Eirikur Agustsson, Sagar Waghmare, Mikhail Sirotenko, Ming-Hsuan Yang, Tobias Weyand, Boqing Gong, Leonid Sigal
2024	J	`jnl`	Extending Video Masked Autoencoders to 128 frames. CoRR Nitesh Bharadwaj Gundavarapu, Luke Friedman, Raghav Goyal, Chaitra Hegde, Eirikur Agustsson, Sagar M. Waghmare, Mikhail Sirotenko, Ming-Hsuan Yang, Tobias Weyand, Boqing Gong, Leonid Sigal
2024	A*	`conf`	Finite Scalar Quantization: VQ-VAE Made Simple. ICLR Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
2023	J	`jnl`	Finite Scalar Quantization: VQ-VAE Made Simple. CoRR Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
2023	J	`jnl`	High-Fidelity Image Compression with Score-based Generative Models. CoRR Emiel Hoogeboom, Eirikur Agustsson, Fabian Mentzer, Luca Versari, George Toderici, Lucas Theis
2023	A*	`conf`	M2T: Masking Transformers Twice for Faster Decoding. ICCV Fabian Mentzer, Eirikur Agustsson, Michael Tschannen
2023	J	`jnl`	M2T: Masking Transformers Twice for Faster Decoding. CoRR Fabian Mentzer, Eirikur Agustsson, Michael Tschannen
2023	A*	`conf`	Multi-Realism Image Compression with a Conditional Generator. CVPR Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
2022	J	`jnl`	Multi-Realism Image Compression with a Conditional Generator. CoRR Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
2022	—	`conf`	Neural Video Compression Using GANs for Detail Synthesis and Propagation. ECCV (26) Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
2022	A*	`conf`	VCT: A Video Compression Transformer. NeurIPS Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson
2022	J	`jnl`	VCT: A Video Compression Transformer. CoRR Fabian Mentzer, George Toderici, David Minnen, Sung Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson
2021	J	`jnl`	Nonlinear Transform Coding. IEEE J. Sel. Top. Signal Process. Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
2021	J	`jnl`	On the advantages of stochastic encoders. CoRR Lucas Theis, Eirikur Agustsson
2021	J	`jnl`	Towards Generative Video Compression. CoRR Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
2020	—	`conf`	Efficiently Detecting Plausible Locations for Object Placement Using Masked Convolutions. ECCV Workshops (4) Anna Volokitin, Igor Susmelj, Eirikur Agustsson, Luc Van Gool, Radu Timofte
2020	A*	`conf`	High-Fidelity Generative Image Compression. NeurIPS Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson
2020	J	`jnl`	High-Fidelity Generative Image Compression. CoRR Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson
2020	—	`—`	Image compression via super-resolution and generative models. Eirikur Agustsson
2020	J	`jnl`	Nonlinear Transform Coding. CoRR Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
2020	A*	`conf`	Scale-Space Flow for End-to-End Optimized Video Compression. CVPR Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ballé, Sung Jin Hwang, George Toderici
2020	A*	`conf`	Universally Quantized Neural Compression. NeurIPS Eirikur Agustsson, Lucas Theis
2020	J	`jnl`	Universally Quantized Neural Compression. CoRR Eirikur Agustsson, Lucas Theis
2019	A*	`conf`	Generative Adversarial Networks for Extreme Learned Image Compression. ICCV Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
2019	A*	`conf`	Interactive Full Image Segmentation by Considering All Regions Jointly. CVPR Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari
2019	—	`conf`	Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models. ICLR (Poster) Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool
2019	A*	`conf`	Practical Full Resolution Learned Lossless Image Compression. CVPR Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2018	—	`conf`	CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution. ECCV Workshops (5) Yawei Li, Eirikur Agustsson, Shuhang Gu, Radu Timofte, Luc Van Gool
2018	—	`conf`	ComboGAN: Unrestrained Scalability for Image Domain Translation. CVPR Workshops Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool
2018	—	`conf`	ComboGAN: Unrestricted Scalability for Image Domain Translation. ICLR (Workshop) Asha Anoosheh, Eirikur Agustsson, Radu Timofte
2018	A*	`conf`	Conditional Probability Models for Deep Image Compression. CVPR Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2018	J	`jnl`	Conditional Probability Models for Deep Image Compression. CoRR Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2018	A*	`conf`	Deep Generative Models for Distribution-Preserving Lossy Compression. NeurIPS Michael Tschannen, Eirikur Agustsson, Mario Lucic
2018	J	`jnl`	Deep Generative Models for Distribution-Preserving Lossy Compression. CoRR Michael Tschannen, Eirikur Agustsson, Mario Lucic
2018	—	`conf`	Extreme Learned Image Compression with GANs. CVPR Workshops Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
2018	J	`jnl`	Generative Adversarial Networks for Extreme Learned Image Compression. CoRR Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
2018	—	`conf`	Generative Adversarial Style Transfer Networks for Face Aging. CVPR Workshops Sveinn Palsson, Eirikur Agustsson, Radu Timofte, Luc Van Gool
2018	J	`jnl`	Interactive Full Image Segmentation. CoRR Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari
2018	A*	`conf`	Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks. CVPR Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool
2018	—	`conf`	PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 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
2018	J	`jnl`	PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR 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
2018	J	`jnl`	Practical Full Resolution Learned Lossless Image Compression. CoRR Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2018	—	`conf`	Towards Image Understanding from Deep Compression Without Decoding. ICLR (Poster) Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2018	J	`jnl`	Towards Image Understanding from Deep Compression without Decoding. CoRR Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2017	J	`jnl`	Almost Lossless Analog Signal Separation and Probabilistic Uncertainty Relations. IEEE Trans. Inf. Theory David Stotz, Erwin Riegler, Eirikur Agustsson, Helmut Bölcskei
2017	A*	`conf`	Anchored Regression Networks Applied to Age Estimation and Super Resolution. ICCV Eirikur Agustsson, Radu Timofte, Luc Van Gool
2017	B	`conf`	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database. FG Eirikur Agustsson, Radu Timofte, Sergio Escalera, Xavier Baró, Isabelle Guyon, Rasmus Rothe
2017	J	`jnl`	ComboGAN: Unrestrained Scalability for Image Domain Translation. CoRR Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool
2017	J	`jnl`	Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks. CoRR Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool
2017	—	`conf`	NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study. CVPR Workshops Eirikur Agustsson, Radu Timofte
2017	—	`conf`	NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 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
2017	J	`jnl`	Optimal transport maps for distribution preserving operations on latent spaces of Generative Models. CoRR Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool
2017	J	`jnl`	Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. CoRR Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
2017	—	`conf`	Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations. NIPS Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
2017	J	`jnl`	WebVision Challenge: Visual Learning and Understanding With Web Data. CoRR Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar, Luc Van Gool
2017	J	`jnl`	WebVision Database: Visual Learning and Understanding from Web Data. CoRR Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Luc Van Gool
2017	—	`conf`	k^2 k 2 -means for Fast and Accurate Large Scale Clustering. ECML/PKDD (2) Eirikur Agustsson, Radu Timofte, Luc Van Gool
2016	—	`conf`	From Face Images and Attributes to Attributes. ACCV (3) Robert Torfason, Eirikur Agustsson, Rasmus Rothe, Radu Timofte
2016	B	`conf`	Regressor Basis Learning for anchored super-resolution. ICPR Eirikur Agustsson, Radu Timofte, Luc Van Gool
2016	J	`jnl`	k2-means for fast and accurate large scale clustering. CoRR Eirikur Agustsson, Radu Timofte, Luc Van Gool
2015	J	`jnl`	Almost lossless analog signal separation and probabilistic uncertainty relations. CoRR David Stotz, Erwin Riegler, Eirikur Agustsson, Helmut Bölcskei
2014	J	`jnl`	Neighborhood Selection for Thresholding-based Subspace Clustering. CoRR Reinhard Heckel, Eirikur Agustsson, Helmut Bölcskei
2014	Misc	`conf`	Neighborhood selection for thresholding-based subspace clustering. ICASSP Reinhard Heckel, Eirikur Agustsson, Helmut Bölcskei